HR job title
- Professor and Head
- Contact Info
- 1 979 845 1251
Langari, Gholamreza Professor and Head
Positions
- Professor and Head, Engineering Technology and Industrial Distribution, College of Engineering
- Faculty Affiliate, Energy Institute, Texas A&M Engineering Experiment Station (TEES)
My research focuses on Computational Intelligence, Mechatronics, Dynamic Systems and Control, Robotics and Automation, Autonomous Vehicles, Fault Diagnosis and Identification (FDI), and Rehabilitation Robotics.
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- Works By Students
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Overview
Publications
selected publications
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academic article
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Zhou, W., Qiu, Z., Tian, S., Liu, Y., Wei, L., & Langari, R.
(2021).
A Novel Hybrid Approach for Risk Evaluation of Vehicle Failure Modes. Sensors.
21(2), 661-661.
-
Wang, Z., Wei, W., Langari, R., Zhang, Q., & Yan, Q.
(2021).
A Prediction Model Based on Artificial Neural Network for the Temperature Performance of a Hydrodynamic Retarder in Constant-Torque Braking Process. IEEE Access.
9, 24872-24883.
-
Chen, J., Hu, S., Ye, Y., Huang, H., Langari, R., & Tang, C.
(2021).
A cascaded scheme for high-performance estimation of vehicle states. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering.
235(8), 2101-2113.
-
Zhou, W., Qiu, Z., Wang, F., Wei, L., & Langari, R.
(2021).
A novel risk evaluation for vehicle failure modes using a hybrid method under fuzzy environment. International Journal of Crashworthiness.
1-13.
-
Zhang, F., Hu, X., Langari, R., Wang, L., Cui, Y., & Pang, H.
(2021).
Adaptive energy management in automated hybrid electric vehicles with flexible torque request. ENERGY.
214, 118873-118873.
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Phan, D., Amani, A. M., Mola, M., Rezaei, A. A., Fayyazi, M., Jalili, M., ... Khayyam, H.
(2021).
Cascade Adaptive MPC with Type 2 Fuzzy System for Safety and Energy Management in Autonomous Vehicles: A Sustainable Approach for Future of Transportation. SUSTAINABILITY.
13(18), 10113-10113.
-
Pei, L., Jin, F., Langari, R., & Garg, H.
(2021).
Local adjustment strategy-driven probabilistic linguistic group decision-making method and its application for fog-haze influence factors evaluation. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS.
40(3), 4135-4154.
-
Li, L., Coskun, S., Wang, J., Fan, Y., Zhang, F., & Langari, R.
(2021).
Velocity Prediction Based on Vehicle Lateral Risk Assessment and Traffic Flow: A Brief Review and Application Examples. ENERGIES.
14(12), 3431-3431.
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Shen, F., Langari, R., & Yan, R.
(2020).
Exploring Sample/Feature Hybrid Transfer for Gear Fault Diagnosis Under Varying Working Conditions. Journal of Computing and Information Science in Engineering.
20(4),
-
Jin, F., Ni, Z., Langari, R., & Chen, H.
(2020).
Consistency Improvement-Driven Decision-Making Methods with Probabilistic Multiplicative Preference Relations. Group Decision and Negotiation.
29(2), 371-397.
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Yao, J., Zhao, J., Deng, Y., & Langari, R.
(2020).
Weak Fault Feature Extraction of Rotating Machinery Based on Double-Window Spectrum Fusion Enhancement. IEEE Transactions on Instrumentation and Measurement.
69(4), 1029-1040.
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Chen, J., Guo, C., Hu, S., Sun, J., Langari, R., & Tang, C.
(2020).
Robust Estimation of Vehicle Motion States Utilizing an Extended Set-Membership Filter. Applied Sciences.
10(4), 1343-1343.
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Shen, F., Langari, R., & Yan, R.
(2020).
Transfer between multiple machine plants: A modified fast self-organizing feature map and two-order selective ensemble based fault diagnosis strategy. Measurement.
151, 107155-107155.
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Yoo, J., & Langari, R.
(2020).
A Game-Theoretic Model of Human Driving and Application to Discretionary Lane-Changes
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Yoo, J., & Langari, R.
(2020).
A Stackelberg Game Theoretic Model of Lane-Merging
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Won, J., Langari, R., & Robson, N.
(2020).
Numerical Finger Kinematic Models Derived From Virtual Grasping of Various Cylindrical Objects With the Family of Conic Sections. Journal of Mechanisms and Robotics.
13(1),
-
Jin, F., Liu, J., Chen, H., & Langari, R.
(2020).
Interval Type-2 Trapezoidal Fuzzy Decision- Making Method With Consistency-Improving Algorithm and DEA Model. IEEE Access.
8, 120456-120472.
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Wahid, F., Tafreshi, R., & Langari, R.
(2019).
A Multi-Window Majority Voting Strategy to Improve Hand Gesture Recognition Accuracies Using Electromyography Signal. IEEE Transactions on Neural Systems and Rehabilitation Engineering.
28(2), 427-436.
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Yoo, J., & Langari, R.
(2019).
A Predictive Perception Model and Control Strategy for Collision-Free Autonomous Driving. IEEE Transactions on Intelligent Transportation Systems.
20(11), 4078-4091.
-
Jin, F., Pei, L., Chen, H., Langari, R., & Liu, J.
(2019).
A Novel Decision-Making Model with Pythagorean Fuzzy Linguistic Information Measures and Its Application to a Sustainable Blockchain Product Assessment Problem. SUSTAINABILITY.
11(20), 5630-5630.
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Chen, G., Chen, S., Langari, R., Li, X. u., & Zhang, W.
(2019).
Driver-Behavior-Based Adaptive Steering Robust Nonlinear Control of Unmanned Driving Robotic Vehicle With Modeling Uncertainties and Disturbance Observer. IEEE Transactions on Vehicular Technology.
68(8), 8183-8190.
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Zhang, F., Hu, X., Langari, R., & Cao, D.
(2019).
Energy management strategies of connected HEVs and PHEVs: Recent progress and outlook. Progress in Energy and Combustion Science.
73, 235-256.
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Zeiaee, A., Soltani-Zarrin, R., Langari, R., & Tafreshi, R.
(2019).
Kinematic Design Optimization of an Eight Degree-of-Freedom Upper-Limb Exoskeleton. Robotica.
37(12), 2073-2086.
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Li, L., Coskun, S., Zhang, F., Langari, R., & Xi, J.
(2019).
Energy Management of Hybrid Electric Vehicle Using Vehicle Lateral Dynamic in Velocity Prediction. IEEE Transactions on Vehicular Technology.
68(4), 3279-3293.
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Li, L., Xi, J., & Langari, R.
(2019).
Noise Prevention Research in the Hyperbaric Oxygen Chamber by Flux Vector Splitting Format. IEEE Access.
7, 34620-34630.
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Liu, S., Langari, R., & Li, Y.
(2019).
NON-LINEAR DIRECT JOINT CONTROL FOR MANIPULATOR HANDLING A FLEXIBLE PAYLOAD WITH INPUT CONSTRAINTS. International Journal of Robotics and Automation.
34(6), 645-653.
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Xiang, C., Huang, K., & Langari, R.
(2018).
Power-Split Electromechanical Transmission Design and Validation with Three Planetary Gears for Heavy-Duty Vehicle. Iranian Journal of Science and Technology, Transactions of Mechanical Engineering.
42(4), 383-400.
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Yulong, Z., Weida, W., Changle, X., Hui, l., & Langari, R.
(2018).
Research and Bench Test of Nonlinear Model Predictive Control-Based Power Allocation Strategy for Hybrid Energy Storage System. IEEE Access.
6, 70770-70787.
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Yu, H., & Langari, R.
(2018).
A neural network-based detection and mitigation system for unintended acceleration. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS.
355(10), 4315-4335.
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Shin, S., Tafreshi, R., & Langari, R.
(2018).
EMG and IMU based real-time HCI using dynamic hand gestures for a multiple-DoF robot arm. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS.
Preprint(Preprint), 1-16.
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Yu, H., Tseng, H. E., & Langari, R.
(2018).
A human-like game theory-based controller for automatic lane changing. Transportation Research Part C Emerging Technologies.
88, 140-158.
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Wahid, M. F., Tafreshi, R., Al-Sowaidi, M., & Langari, R.
(2018).
Subject-independent hand gesture recognition using normalization and machine learning algorithms. Journal of Computational Science.
27, 69-76.
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Xu, X., Luo, T., Luo, J., Hua, X., & Langari, R.
(2018).
Dynamical load sharing behaviors of heavy load planetary gear system with multi-floating components. International Journal of Modeling Simulation and Scientific Computing.
09(01), 1850005-1850005.
-
Kocadagli, O., & Langari, R.
(2017).
Classification of EEG signals for epileptic seizures using hybrid artificial neural networks based wavelet transforms and fuzzy relations. Expert Systems with Applications.
88, 419-434.
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Huang, K., Xiang, C., & Langari, R.
(2017).
Model reference adaptive control of a series–parallel hybrid electric vehicle during mode shift. Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering.
231(7), 541-553.
-
Zeiaee, A., Soltani-Zarrin, R., Langari, R., & Tafreshi, R.
(2017).
Design and Kinematic Analysis of a Novel Upper Limb Exoskeleton for Rehabilitation of Stroke Patients. 2011 IEEE International Conference on Rehabilitation Robotics.
2017, 759-764.
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Huang, K., Xiang, C., Ma, Y., Wang, W., & Langari, R.
(2017).
Mode Shift Control for a Hybrid Heavy-Duty Vehicle with Power-Split Transmission. ENERGIES.
10(2), 177-177.
-
Sharifi, R., & Langari, R.
(2017).
Nonlinear sensor fault diagnosis using mixture of probabilistic PCA models. MECHANICAL SYSTEMS AND SIGNAL PROCESSING.
85, 638-650.
-
Zhang, F., Xi, J., & Langari, R.
(2017).
Real-Time Energy Management Strategy Based on Velocity Forecasts Using V2V and V2I Communications. IEEE Transactions on Intelligent Transportation Systems.
18(2), 416-430.
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Soltani-Zarrin, R., Zeiaee, A., Langari, R., Tafreshi, R., & IEEE, ..
(2017).
A Computational Approach for Human-like Motion Generation in Upper Limb Exoskeletons Supporting Scapulohumeral Rhythms. abs/1712.02336, 56-57.
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Qin, Y., Langari, R., Wang, Z., Xiang, C., & Dong, M.
(2017).
Road excitation classification for semi-active suspension systemwith deep neural networks. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS.
Preprint(Preprint), 1-12.
-
Shin, S., Tafreshi, R., & Langari, R.
(2016).
Robustness of Using Dynamic Motions and Template Matching to the Limb Position Effect in Myoelectric Classification. JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME.
138(11), 111009.
-
Qin, Y., Langari, R., & Gu, L.
(2015).
A new modeling algorithm based on ANFIS and GMDH. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS.
29(4), 1321-1329.
-
Langari, R.
(2015).
Editorial. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS.
29(3), 987-988.
-
Yu, H., & Langari, R.
(2015).
Detection of Unintended Acceleration in Longitudinal Car Following. SAE International Journal of Passenger Cars - Electronic and Electrical Systems.
8(2), 306-313.
-
Qin, Y., Dong, M., Langari, R., Gu, L., & Guan, J.
(2015).
Adaptive Hybrid Control of Vehicle Semiactive Suspension Based on Road Profile Estimation. Shock and Vibration.
2015, 1-13.
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Yi, H., Oh, C., & Langari, R.
(2015).
DESIGN AND ANALYSIS OF AN INNOVATIVE MODULAR ROBOTIC MANIPULATOR. International Journal of Robotics and Automation.
30(5), 503-510.
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El-Koujok, M., Benammar, M., Meskin, N., Al-Naemi, M., & Langari, R.
(2014).
Multiple sensor fault diagnosis by evolving data-driven approach. Information Sciences.
259, 346-358.
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Kim, C., & Langari, R.
(2014).
Game theory based autonomous vehicles operation. International Journal of Vehicle Design.
65(4), 360-383.
-
Kim, C., & Langari, R.
(2013).
Application of brain limbic system to adaptive cruise control. International Journal of Vehicle Autonomous Systems.
11(1), 22-41.
-
Sharifi, R., & Langari, R.
(2013).
Sensor fault diagnosis with a probabilistic decision process. MECHANICAL SYSTEMS AND SIGNAL PROCESSING.
34(1-2), 146-155.
-
Yi, H., & Langari, R.
(2012).
A design and bio-inspired control of a novel redundant manipulator with M-DOFs links. International Journal of Robotics and Automation.
27(4), 422-430.
-
Kim, C., & Langari, R.
(2012).
Adaptive Analytic Hierarchy Process-Based Decision Making to Enhance Vehicle Autonomy. IEEE Transactions on Vehicular Technology.
61(7), 3321-3332.
-
Yi, H., & Langari, R.
(2012).
A DESIGN AND BIO-INSPIRED CONTROL OF A NOVEL REDUNDANT MANIPULATOR WITH M-DOFS LINKS. International Journal of Robotics and Automation.
27(4), 422-430.
-
Kim, C., & Langari, R.
(2012).
Development of an autonomous vehicle highway merging strategy. International Journal of Vehicle Design.
60(3/4), 350-368.
-
Kim, C., & Langari, R.
(2011).
Brain limbic system-based intelligent controller application to lane change manoeuvre. Vehicle System Dynamics.
49(12), 1873-1894.
-
Sharifi, R., & Langari, R.
(2011).
Isolability of faults in sensor fault diagnosis. MECHANICAL SYSTEMS AND SIGNAL PROCESSING.
25(7), 2733-2744.
-
Kim, C., & Langari, R.
(2011).
A MOBILE ROBOT TARGET TRACKING VIA BRAIN LIMBIC SYSTEM BASED CONTROL. International Journal of Robotics and Automation.
26(3), 288-295.
-
Kim, Y., Langari, R., & Hurlebaus, S.
(2011).
MIMO fuzzy identification of building-MR damper systems. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS.
22(4), 185-205.
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Sanchez, E. N., Ricalde, L. J., Langari, R., & Shahmirzadi, D.
(2011).
Rollover Prediction and Control in Heavy Vehicles Via Recurrent High Order Neural Networks. Intelligent Automation & Soft Computing.
17(1), 95-107.
-
Kim, Y., Kim, C., & Langari, R.
(2010).
Novel bio-inspired smart control for hazard mitigation of civil structures. SMART MATERIALS & STRUCTURES.
19(11), 115009-115009.
-
Sharifi, R., Kim, Y., & Langari, R.
(2010).
Sensor fault isolation and detection of smart structures. SMART MATERIALS & STRUCTURES.
19(10), 105001-105001.
-
Kim, Y., Hurlebaus, S., & Langari, R.
(2010).
Model‐Based Multi‐input, Multi‐output Supervisory Semi‐active Nonlinear Fuzzy Controller. Computer-Aided Civil and Infrastructure Engineering.
25(5), 387-393.
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Kim, Y., Langari, R., & Hurlebaus, S.
(2010).
Control of a Seismically Excited Benchmark Building Using Linear Matrix Inequality-Based Semiactive Nonlinear Fuzzy Control. JOURNAL OF STRUCTURAL ENGINEERING.
136(8), 1023-1026.
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Kim, Y., Langari, R., & Hurlebaus, S.
(2009).
Semiactive nonlinear control of a building with a magnetorheological damper system. MECHANICAL SYSTEMS AND SIGNAL PROCESSING.
23(2), 300-315.
-
Jaradat, M., & Langari, R.
(2009).
A hybrid intelligent system for fault detection and sensor fusion. Applied Soft Computing.
9(1), 415-422.
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Langari, R.
(2007).
JanJantzenFoundations of Fuzzy Control2007John Wiley and Sons. Artificial Intelligence.
171(18), 1116-1117.
-
Bhuvaneshwaran, V., Langari, R., & Temponi, C.
(2006).
A Genetic Algorithm and Fuzzy Approach (GAFA) for Constrained Nonlinear Optimization in Design. International Journal for Computational Methods in Engineering Science and Mechanics.
7(3), 173-189.
-
Shahmirzadi, D., Langari, R., Ricalde, L. J., & Sanchez, E. N.
(2006).
Intelligent vs. sliding mode control in rollover prevention of tractor-semitrailers. International Journal of Vehicle Autonomous Systems.
4(1), 68-86.
-
Langari, R., & Won, J.
(2005).
Intelligent Energy Management Agent for a Parallel Hybrid Vehicle—Part I: System Architecture and Design of the Driving Situation Identification Process. IEEE Transactions on Vehicular Technology.
54(3), 925-934.
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Won, J., & Langari, R.
(2005).
Intelligent Energy Management Agent for a Parallel Hybrid Vehicle—Part II: Torque Distribution, Charge Sustenance Strategies, and Performance Results. IEEE Transactions on Vehicular Technology.
54(3), 935-953.
-
Won, J., Langari, R., & Ehsani, M.
(2005).
An energy management and charge sustaining strategy for a parallel hybrid vehicle with CVT. IEEE Transactions on Control Systems Technology.
13(2), 313-320.
-
Smith, E. B., & Langari, R.
(2003).
Fuzzy multiobjective decision making for navigation of mobile robots in dynamic, unstructured environments. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS.
14(2), 95-108.
-
Lin, Y., Suh, C. S., Langari, R., & Noah, S. T.
(2003).
On the Characteristics and Mechanism of Rolling Instability and Chatter. Journal of Manufacturing Science and Engineering.
125(4), 778-786.
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Bhuvaneshwaran, V., Temponi, C., & Langari, R.
(2003).
GA Based Engineering Design Optimization Using Fuzzy Constraints and Fitness Functions. International Journal of Smart Engineering System Design.
5(4), 375-388.
-
Langari, R., Pedrycz, W., & Farinwata, S.
(2003).
Guest-editorial. INTEGRATED COMPUTER-AIDED ENGINEERING.
10(4), 303.
-
Hyun, D., & Langari, R.
(2003).
Modeling to Predict Rollover Threat of Tractor-Semitrailers. Vehicle System Dynamics.
39(6), 401-414.
-
Won, J., & Langari, R.
(2002).
Fuzzy torque distribution control for a parallel hybrid vehicle. Expert Systems.
19(1), 4-10.
-
Hyun, D., & Langari, R.
(2002).
Development of a parsimonious dynamic model of tractor-semitrailers. HEAVY VEHICLE SYSTEMS-INTERNATIONAL JOURNAL OF VEHICLE DESIGN.
9(4), 298-318.
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Langari, R., & Yen, J.
(2001).
Guest Editorial Fuzzy Logic at the Turn of the Millennium. IEEE Transactions on Fuzzy Systems.
9(4), 481-482.
-
Mesina, O. S., & Langari, R.
(2001).
A Neuro-Fuzzy System for Tool Condition Monitoring in Metal Cutting. Journal of Manufacturing Science and Engineering.
123(2), 312-318.
-
Hong, S., & Langari, R.
(2000).
An LMI-based H∞ fuzzy control system design with TS framework. Information Sciences.
123(3-4), 163-179.
-
Hong, S., & Langari, R.
(2000).
Robust fuzzy control of a magnetic bearing system subject to harmonic disturbances. IEEE Transactions on Control Systems Technology.
8(2), 366-371.
-
Hong, S. K., & Langari, R.
(1999).
Fuzzy modeling and control of a nonlinear magnetic bearing system. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS.
7(4), 335-346.
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Joh, J., Chen, Y., & Langari, R.
(1998).
On the stability issues of linear Takagi-Sugeno fuzzy models. IEEE Transactions on Fuzzy Systems.
6(3), 402-410.
-
Hong, S. K., & Langari, R.
(1997).
Robust fuzzy control of a magnetic bearing system subject to harmonic disturbances. American Society of Mechanical Engineers, Applied Mechanics Division, AMD.
223, 61-68.
-
Langari, R., Wang, L., & Yen, J.
(1997).
Radial basis function networks, regression weights, and the expectation-maximization algorithm. IEEE Transactions on Systems Man and Cybernetics Systems.
27(5), 613-623.
-
WANG, L., & LANGARI, R.
(1996).
IDENTIFICATION OF TIME-VARYING FUZZY SYSTEMS. International Journal of General Systems.
25(3), 203-218.
-
Jayasuriya, S., & Langari, R.
(1996).
Nonlinear filtering of signals exhibiting large fluctuations in strength. American Society of Mechanical Engineers, Design Engineering Division (Publication) DE.
91, 159-163.
-
YEN, J., LANGARI, R., & WANG, L.
(1996).
PRINCIPAL COMPONENTS, B-SPLINES, AND FUZZY SYSTEM REDUCTION. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems.
04(06), 561-572.
-
Wang, L., & Langari, R.
(1996).
Sugeno model, fuzzy discretization, and the EM algorithm. FUZZY SETS AND SYSTEMS.
82(3), 279-288.
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Langari, R., & Wang, L.
(1996).
Fuzzy models, modular networks, and hybrid learning. FUZZY SETS AND SYSTEMS.
79(2), 141-150.
-
WANG, L., & LANGARI, R.
(1996).
A variable forgetting factor RLS algorithm with application to fuzzy time-varying systems identification. International Journal of Systems Science.
27(2), 205-214.
-
Wang, L., & Langari, R.
(1996).
Complex systems modeling via fuzzy logic. IEEE TRANSACTIONS ON CYBERNETICS.
26(1), 100-106.
-
Wang, L., & Langari, R.
(1995).
Building Sugeno-type models using fuzzy discretization and orthogonal parameter estimation techniques. IEEE Transactions on Fuzzy Systems.
3(4), 454-458.
-
Shahruz, S. M., Langari, G., & Tomizuka, M.
(1993).
Design of robust PD‐type control laws for robotic manipulators with parametric uncertainties. Journal of Field Robotics.
10(4), 447-462.
-
Shahruz, S. M., & Langari, G.
(1992).
Closeness of the Solutions of Approximately Decoupled Damped Linear Systems to Their Exact Solutions. JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME.
114(3), 1059-1060.
-
Shahruz, S. M., Langari, G., & Tomizuka, M.
(1992).
Optimal damping ratio for linear second-order systems. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS.
73(3), 563-576.
-
Zhou, W., Qiu, Z., Tian, S., Liu, Y., Wei, L., & Langari, R.
(2021).
A Novel Hybrid Approach for Risk Evaluation of Vehicle Failure Modes. Sensors.
21(2), 661-661.
-
book
-
Morris, A. S., & Langari, R.
(2015).
Measurement and Instrumentation: Theory and Application. Academic Press.
-
Langari, G.
(2012).
Dynamics, Vibration and Control. Wiley Custom Learning Solutions.
-
Morris, A. S., & Langari, R.
(2012).
Measurement and Instrumentation Theory and Application. Academic Press.
-
Langari, R.
(2012).
Measurement and Instrumentation. Elsevier.
-
Yen, J., & Langari, R.
(1999).
Fuzzy Logic Intelligence, Control, and Information
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Morris, A. S., & Langari, R.
(2015).
Measurement and Instrumentation: Theory and Application. Academic Press.
-
chapter
-
Kim, Y., Kim, C., & Langari, R.
(2012).
Neuromorphic smart controller for seismically excited structures. Design Optimization of Active and Passive Structural Control Systems.
(pp. 216-233).
IGI Global.
-
Kim, Y., Langari, R., & Hurlebaus, S.
(2011).
Identification and control of large smart structures. Engineering Physics and Mechanics: Analyses, Prediction and Applications.
(pp. 295-360).
-
Kim, Y., Hurlebaus, S., & Langari, R.
(2009).
Fuzzy Control of Large Civil Structures Subjected to Natural Hazards. Recent Advances in Intelligent Control Systems.
(pp. 3-20).
Springer London.
-
Kim, Y., Kim, C., & Langari, R.
(2012).
Neuromorphic smart controller for seismically excited structures. Design Optimization of Active and Passive Structural Control Systems.
(pp. 216-233).
IGI Global.
-
conference paper
-
Ko, S., Langari, R., & IEEE, ..
(2020).
Shared control between human driver and machine based on game theoretical model predictive control framework. 2005 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS, VOLS 1 AND 2.
649-654.
-
Zhang, Q., Filev, D., Tseng, H. E., Szwabowski, S., Langari, R., & IEEE, ..
(2019).
A Game Theoretic Four-Stage Model Predictive Controller for Highway Driving. 1985 American Control Conference.
1375-1381.
-
Liu, S., Liu, J., Li, Y., Langari, R., & IEEE, ..
(2019).
A New Exponential Reaching Law of Sliding Mode Control for Vehicle-Mounted Rigid - Flexible Manipulator. PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC).
2656-2661.
-
Coskun, S., Zhang, Q., Langari, R., & IEEE, ..
(2019).
Receding Horizon Markov Game Autonomous Driving Strategy. 1985 American Control Conference.
1367-1374.
-
Jin, F., Ni, Z., Chen, H., Langari, R., Zhu, X., & Yuan, H.
(2018).
Single-valued neutrosophic entropy and similarity measures to solve supplier selection problems. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS.
1-11.
-
Liu, S., Langari, R., & Li, Y.
(2018).
Control Design for the System of Manipulator Handling a Flexible Payload With Input Constraints. PROCEEDINGS OF THE ASME 11TH ANNUAL DYNAMIC SYSTEMS AND CONTROL CONFERENCE, 2018, VOL 3.
v003t40a004-v003t40a004.
-
Zhang, F., Xu, K., Li, L., & Langari, R.
(2018).
Comparative Study of Equivalent Factor Adjustment Algorithm for Equivalent Consumption Minimization Strategy for HEVs**Research supported by Shaanxi Provincial Department of Education. 2018 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC).
1-6.
-
Coskun, S., & Langari, R.
(2018).
Improved Vehicle Lateral Dynamics with Takagi-Sugeno $mathscr{H}_{infty}$ Fuzzy Control Strategy for Emergency Maneuvering. 859-864.
-
Coskun, S., & Langari, R.
(2018).
Predictive Fuzzy Markov Decision Strategy for Autonomous Driving in Highways. 1032-1039.
-
Wahid, F., Tafreshi, R., Al-Sowaidi, M., & Langari, R.
(2018).
An Efficient Approach to Recognize Hand Gestures Using Machine-Learning Algorithms. 2014 MIDDLE EAST CONFERENCE ON BIOMEDICAL ENGINEERING (MECBME).
171-176.
-
Zhang, Q., Filev, D., Tseng, H. E., Szwabowski, S., & Langari, R.
(2018).
Addressing Mandatory Lane Change Problem with Game Theoretic Model Predictive Control and Fuzzy Markov Chain. 1985 American Control Conference.
4764-4771.
-
Liu, S., Li, Y., & Langari, R.
(2018).
Force Control of Dual-Manipulator Handling a Flexible Payload Based on Distributed Parameter Model. 2017 CHINESE AUTOMATION CONGRESS (CAC).
2820-2824.
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A Computational Approach for Human-Like Motion Generation in Upper Limb Exoskeletons Supporting Scapulohumeral Rhythms. 1-2.
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TAMU CLEVERarm: A Novel Exoskeleton for Rehabilitation of Upper Limb Impairments. 1-2.
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Collision Cone Based Lane Changing Model for Collision Avoidance. v003t33a002-v003t33a002.
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Reference Path Generation for Upper-Arm Exoskeletons Considering Scapulohumeral Rhythms. 2011 IEEE International Conference on Rehabilitation Robotics.
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Enhanced Vehicle Handling Performance for an Emergency Lane Changing Controller in Highway Driving. 2016 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV).
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Autonomous Vehicles: A Tutorial on Research and Development Issues. 1985 American Control Conference.
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Zeiaee, A., Soltani-Zarrin, R., Fontes, F., & Langari, R.
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Constrained Directions Method for Stabilization of Mobile Robots with Input and State Constraints. 1985 American Control Conference.
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Shin, S., Tafreshi, R., & Langari, R.
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Real-Time EMG-Based Human Machine Interface Using Dynamic Hand Gestures. 1985 American Control Conference.
5456-5461.
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Qin, Y., Langari, R., Wang, Z., Xiang, C., & Dong, M.
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Road Profile Estimation for Semi-Active Suspension Using an Adaptive Kalman Filter and an Adaptive Super-Twisting Observer. 1985 American Control Conference.
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TAMU CLEVERarm: A Novel Exoskeleton for Rehabilitation of Upper Limb Impairments. 58-59.
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Coskun, S., & Langari, R.
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Development of an Emergency Lane Change System in Highway Driving. v002t31a003-v002t31a003.
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A Novel Approach for Tracking Control of Differential Drive Robots Subject to Hard Input Constraints. 1985 American Control Conference.
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Shin, S., Tafreshi, R., & Langari, R.
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Myoelectric Pattern Recognition Using Dynamic Motions with Limb Position Changes. 1985 American Control Conference.
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Zhang, F., Xi, J., & Langari, R.
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An adaptive equivalent consumption minimization strategy for parallel hybrid electric vehicle based on Fuzzy PI. 2016 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV).
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Qin, Y., Dong, M., Zhao, F., Langari, R., & Gu, L.
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Road Profile Classification for Vehicle Semi-Active Suspension System Based on Adaptive Neuro-Fuzzy Inference System. 2004 43RD IEEE CONFERENCE ON DECISION AND CONTROL (CDC), VOLS 1-5.
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A Detection and Warning System for Unintended Acceleration. v002t31a002-v002t31a002.
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A Uniform Control for Tracking and Point Stabilization of Differential Drive Robots Subject to Hard Input Constraints. v001t04a005-v001t04a005.
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Development of a Predictive Collision Avoidance for Subjective Adjacent Risk Estimation. 1985 American Control Conference.
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A Performance Comparison of EMG Classification Methods for Hand and Finger Motion. v002t16a008-v002t16a008.
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Qin, Y., Langari, R., & Gu, L.
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The Use of Vehicle Dynamic Response to Estimate Road Profile Input in Time Domain. v002t27a002-v002t27a002.
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Shin, S., Tafreshi, R., & Langari, R.
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A Performance Comparison of Hand Motion EMG Classification. 2014 MIDDLE EAST CONFERENCE ON BIOMEDICAL ENGINEERING (MECBME).
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Moon, H., Robson, N. P., Langari, R., & Shin, S.
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An Experimental Study on Redundancy Resolution Scheme of Postural Configuration in Human Arm Reaching with an Elbow Joint Kinematic Constraint. 2014 MIDDLE EAST CONFERENCE ON BIOMEDICAL ENGINEERING (MECBME).
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Yi, H., Langari, R., & ASME, ..
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DESIGN AND ANALYSIS OF AN INNOVATIVE MODULAR EXTENDABLE MANIPULATOR
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Yoo, J. H., Langari, R., & ASME, ..
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DEVELOPMENT OF A PREDICTIVE COLLISION RISK ESTIMATION SCHEME FOR MIXED TRAFFIC
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Yoo, J. H., & Langari, R.
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A Stackelberg Game Theoretic Driver Model for Merging. v002t30a003-v002t30a003.
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Elkoujok, M., Benammar, M., Nader, M., Al-Naemi, M., & Langari, R.
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Application of Genetic Algorithm in Selection of Dominant Input Variables in Sensor Fault Diagnosis of Nonlinear Systems. 1-7.
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AbdelGawad, M., Tafreshi, R., & Langari, R.
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Controls-oriented modelling and LQR control of natural gas HCCI engines. International Journal of Vehicle Performance.
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Moon, H., Robson, N. P., Langari, R., & Buchanan, J. J.
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Experimental observations on the human arm motion planning under an elbow joint constraint. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
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AbdelGawad, M. W., Tafreshi, R., & Langari, R.
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A Physics-Based Modeling Approach of a Natural Gas HCCI Engine. 765-773.
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Yi, H., Yoo, J. H., & Langari, R.
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Dynamic Analysis and Sliding Mode Control of a Novel Extendable Modular Multi-DOFs Link. 337-341.
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Moon, H., Robson, N. P., Langari, R., & Buchanan, J. J.
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Experimental Observations on the Central Nervous System’s Governing Strategies on the Arm Reaching With Reduced Mobility. 483-492.
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Yang, C., & Langari, R.
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The Effect of Cell-Phone User on Driver Attention. 31-36.
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Yoo, J. H., & Langari, R.
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Stackelberg Game Based Model of Highway Driving. 499-508.
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Moon, H., Robson, N. P., Langari, R., & Buchanan, J. J.
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Experimental observations on the human arm motion planning under an elbow joint constraint. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
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Moon, H., Hoang, N., Robson, N. P., & Langari, R.
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Human Arm Motion Planning Against a Joint Constraint. 2012 4TH IEEE RAS & EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL ROBOTICS AND BIOMECHATRONICS (BIOROB).
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Multiple Sensor Fault Diagnosis for Non-Linear and Dynamic System by Evolving Approach. 1-10.
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Kim, C., & Langari, R.
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Analytical Hierarchy Process and Brain Limbic System Combined Strategy for Mobile Robot Navigation. 2005 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS, VOLS 1 AND 2.
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Kim, Y., Hurlebaus, S., Sharifi, R., Langari, R., & ASME, ..
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Nonlinear Identification of MIMO Smart Structures. 34-40.
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Kim, C., & Langari, R.
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Brain Limbic System Based Robust Control for Lane Change Maneuver. 805-812.
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Kim, C., & Langari, R.
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Target Tracking Control of a Mobile Robot Using a Brain Limbic System Based Control Strategy. 5059-5064.
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Kim, Y., Langari, R., & Hurlebaus, S.
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Response Control of a Large Civil Structure equipped with Magnetorheological Dampers. 2004 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, PROCEEDINGS.
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Kim, Y., Hurlebaus, S., Sharifi, R., & Langari, R.
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Nonlinear Identification of MIMO Smart Structures. 33-40.
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Sharifi, R., Langari, R., & Kim, Y.
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Sensor Fault Diagnosis in Smart Structures. 41-48.
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Kim, Y., Langari, R., & Hurlebaus, S.
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Supervisory Semiactive Nonlinear Control of a Building-Magnetorheological Damper System. 1985 American Control Conference.
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Ahmed, B., Tafreshi, R., & Langari, R.
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The Future of Automatic EEG Monitoring in the Intensive Care. BMEI 2008: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS, VOL 2.
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Nonlinear Identification and Control of a Building Structure with a Magnetorheological Damper. 1985 American Control Conference.
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Nonlinear identification and control of a building structure with a magnetorheological damper. 1985 American Control Conference.
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New Generation of Passenger Vehicles: FCV or HEV?. 452-459.
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New generation of passenger vehicles: FCV or HEV?. 192-+.
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Chandra, M., & Langari, R.
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Analytical Study of a Control Algorithm Based on Emotional Processing. 1985 American Control Conference.
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Chandra, M., & Langari, R.
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Gearbox Degradation Identification Using Pattern Recognition Techniques. 2004 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, PROCEEDINGS.
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Shahmirzadi, D., & Langari, R.
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Stability of Amygdala learning system using cell-to-cell mapping algorithm. 54-59.
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Abdelati, M., & Langari, R.
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Implementing sequential function charts using FPGAs. 205-209.
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Line map construction using a mobile robot with a sonar sensor. 2005 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS, VOLS 1 AND 2.
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Kareem, M. A., Langari, J., & Langari, R.
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A hybrid real-time system for fault detection and sensor fusion based on conventional fuzzy clustering approach. 2004 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, PROCEEDINGS.
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Shahmirzadi, D., & Langari, R.
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Computational modeling of limbic system for control applications. 73-78.
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Shahmirzadi, D., Langari, R., Ricalde, L. J., & Sanchez, E. N.
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Performance Evaluation of a Biomorphic Control Approach for Tractor-Semitrailers. 1999 IEEE 49TH VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-3.
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Sanchez, E. N., Ricalde, L. J., Langari, R., & Shahmirzadi, D.
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Rollover prediction and control in heavy vehicles via recurrent neural networks. 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).
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Li, J., Butler-Purry, K. L., Benner, C. L., Russell, B. D., Langari, R., & IEEE, ..
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Selecting a fuzzy aggregation operator for the multi-criteria fault location problem. 1476-1482.
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Najafi, M., Culp, C., & Langari, R.
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Enhanced Auto-Associative Neural Networks for Sensor Diagnostics (E- AANN). 2004 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, PROCEEDINGS.
453-456.
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Negi, P., & Langari, R.
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Immunity based systems for faulty sensor detection. 175-184.
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Thimmalapura, S., Smith, S. C., & Langari, R.
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Modeling and friction compensation for a dual stage positioning system. 73-82.
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Sanchez, E. N., Ricalde, L. J., Langari, R., & Shahmirzadi, D.
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Recurrent Neural Control for Rollover Prevention on Heavy Vehicles. 1997 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS 1-4.
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Using Gated Experts in Fault Diagnosis and Prognosis. 2004 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, PROCEEDINGS.
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Malki, H. A., Kottapalli, S., & Langari, R.
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Adaptive neuro-fuzzy modeling of UH-60A pilot vibration
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Intelligent energy management for hybrid vehicles via drive cycle pattern analysis and fuzzy logic torque distribution. 223-228.
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Langari, R., Krishnakumar, K., & Gundy-Burlet, K.
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Neural network based modeling and analysis of LP control surface allocation
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Won, J. S., Langari, R., AAC, .., & AAC, ..
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Intelligent energy management agent for a parallel hybrid vehicle. 1985 American Control Conference.
2560-2565.
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Malki, H. A., Kottapalli, S., & Langari, R.
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Adaptive neuro-fuzzy modeling of UH-60A pilot vibration. 54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference.
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Bhuvaneshwaran, V., & Langari, R.
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Design optimization using genetic algorithms and fuzzy constraints and fitness functions. 2004 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, PROCEEDINGS.
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Langari, R., & Won, J. S.
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Integrated drive cycle analysis for fuzzy logic based energy management in hybrid vehicles. 2004 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, PROCEEDINGS.
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Moghbelli, H., Ganapavarapu, K., Langari, R., & Ehsani, M.
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A Comparative Review of Fuel Cell Vehicles (FCVs) and Hybrid Electric Vehicles (HEVs) Part I: Performance and Parameter Characteristics, Emissions, Well-to-Wheels Efficiency and Fuel Economy, Alternative Fuels, Hybridization of FCV, and Batteries for Hybrid Vehicles. SAE Technical Papers.
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Moghbelli, H., Ganapavarapu, K., & Langari, R.
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A Comparative Review of Fuel Cell Vehicles (FCVs) and Hybrid Electric Vehicles (HEVs) Part II: Control Strategies, Power Train, Total Cost, Infrastructure, New Developments, and Manufacturing & Commercialization. SAE Technical Papers.
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Langari, R., & Won, J.
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A Driving Situation Awareness-Based Energy Management Strategy for Parallel Hybrid Vehicles. SAE Technical Papers.
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Shahmirzadi, D., Lucas, C., & Langari, R.
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Intelligent signal fusion algorithm using BEL-Brain Emotional Learning. 1743-1746.
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Moghbelli, H., Gao, Y., Langari, R., & Ehsani, M.
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Investigation of Hybrid Fuel Cell (HFC) Technology Applications on the Future Passenger Railroad Transportation. 39-53.
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Moghbelli, H., Gao, Y., Langari, R., & Ehsan, M.
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Investigation of Hybrid Fuel Cell (HFC) Technology Applications on the Future Passenger Railroad Transportation. 39-53.
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Won, J. S., & Langari, R.
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Fuzzy Torque Distribution Control for a Parallel Hybrid Electric Vehicle. 43-48.
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Won, J., Langari, R., & Ehsani, M.
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Energy Management Strategy for a Parallel Hybrid Vehicle. 273-280.
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Hyun, D., & Langari, R.
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Predictive Modeling for Rollover Warning of Heavy Vehicles. 715-721.
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Won, J. S., & Langari, R.
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Fuzzy Torque Distribution Control for a Parallel Hybrid Electric Vehicle. 989-994.
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Langari, R., & Hyun, D.
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Fuzzy Logic Based Compensation of Friction in Low Speed Motion Control. 337-342.
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Chen, D., Krishnamurthy, K., Langari, R., Martinelli, L., Nejhad, M. G., Radcliffe, D. F., ... Zhao, Y. J.
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Visioning transition: A framework for collaborative change. ASEE Annual Conference Proceedings.
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Lei, S. L., Langari, R., IEEE, .., & IEEE, ..
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Hierarchical fuzzy logic control of a double inverted pendulum. 1074-1077.
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Kim, K., Joh, J., Langari, R., & Kwon, W.
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LMI-based design of T-S fuzzy controllers using fuzzy estimator. 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).
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Langari, R.
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Past, present and future of fuzzy control: a case for application of fuzzy logic in hierarchical control. 760-765.
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Synthesis of an LMI-based fuzzy control system with guaranteed optimal H/sub /spl infin// performance. 2004 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, PROCEEDINGS.
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Joh, J., Langari, R., Jeung, E. T., & Chung, W. J.
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New design method for continuous Takagi-Sugeno fuzzy controller with pole placement constraints: An LMI approach. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics.
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Hong, S. K., & Langari, R.
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Robust fuzzy control of a magnetic bearing system subject to harmonic disturbances. 61-68.
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Castillo, M. S., Langari, R., & Malave, C. O.
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Tool wear monitoring in milling operations: Preliminary results. 467-470.
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Ko, K., & Langari, R.
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Intelligent selection of cutting parameters in milling operation. 205-210.
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Hong, S., Langari, R., & May, D.
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Experiments in fuzzy logic based control of a magnetic bearing system. 90-95.
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Hong, S., Langari, R., & Joh, J.
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Fuzzy modeling and control of a nonlinear magnetic bearing system. 213-218.
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Yen, J., Wang, L., & Langari, R.
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Multiple fuzzy systems for function approximation. 154-159.
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Luetzig, G., Sanchez-Castillo, M., & Langari, R.
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On tool wear estimation through neural networks. 1997 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS 1-4.
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Lei, S. L., Langari, R., & IEEE, ..
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Approach to synthesis and approximation of stable fuzzy logic controllers. 1446-1452.
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Langari, R., & Li, W.
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Analysis and efficient implementation of fuzzy logic control algorithms. 1-4.
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Langari, R.
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Hierarchical approach to fuzzy logic control. 605-608.
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Wang, L., Langari, R., & IEEE, ..
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A decomposition approach for fuzzy systems identification. 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).
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Langari, R., & Wang, L.
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A modified RBF network with application to system identification. 649-654.
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LANGARI, R., WANG, L., & IEEE, ..
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FUZZY MODELS, MODULAR NETWORKS, AND HYBRID LEARNING. 1291-1298.
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WANG, L. A., LANGARI, R., & COUNCIL, A.
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Fuzzy systems with competitive objectives. 1985 American Control Conference.
3765-3769.
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Wang, L., & Langari, R.
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Building Sugeno-type models using fuzzy discretization and orthogonal parameter estimation techniques. 201-205.
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WANG, L., & LANGARI, R.
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COMPLEX SYSTEMS MODELING VIA FUZZY LOGIC. 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).
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Wang, L., & Langari, R.
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Identification of time-varying fuzzy systems. 365-369.
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Surampudi, B., Langari, R., & Desilva, K.
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Low speed joint motion control in the presence of stick-slip. 923-930.
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Mesina, O. S., & Langari, R.
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Neuro-fuzzy system for tool condition monitoring in metal cutting. 931-938.
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Wang, L., & Langari, R.
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Fuzzy controller design via hyperstability approach. 178-182 vol.1-182.
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Santhanam, S., & Langari, R.
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Supervisory fuzzy adaptive control of a binary distillation column. 1063-1068 vol.2-1068.
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Langari, R.
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Fuzzy logic applications to control engineering. 1998 INTERNATIONAL SYMPOSIUM ON MICROELECTRONICS.
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Surampudi, B., & Langari, G.
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Low speed control of DC motors with fuzzy adaption. 133-140.
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LANGARI, R., & COUNCIL, A.
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SYNTHESIS OF NONLINEAR CONTROL STRATEGIES VIA FUZZY-LOGIC. 1855-1859.
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Surampudi, B., & Langari, G.
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A fuzzy cancellation of stick-slip in DC motors. 24-29.
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Pate, B., & Langari, G.
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A fuzzy logic based controller for a three link manipulator. 109-114.
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Langari, R.
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An approach to supervisory control of multi-stage processes via fuzzy logic. 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).
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Shahruz, S. M., & Langari, G.
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Design of Dynamic Compensators for Linear Parameter-Varying Feedback Systems by the Gain Scheduling Technique. 192-194.
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Belur, R., & Langari, R.
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Supervisory control of an energy management control system via fuzzy logic. 120-122.
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Langari, R.
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Synthesis of nonlinear controllers via fuzzy logic. 23-28.
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Yen, J., Langari, G., Gillespie, W., & Coonrod, D.
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A case study of fuzzy control. 219-220.
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Pfluger, N., Yen, J., & Langari, R.
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A defuzzification strategy for a fuzzy logic controller employing prohibitive information in command formulation. 717-723.
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Shahruz, S. M., & Langari, G.
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Closeness of the solutions of approximately decoupled damped linear systems to their exact solutions. 1985 American Control Conference.
1059-1060.
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Shahruz, S. M., Langari, G., & Tomizuka, M.
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Design of robust PD-type control laws for robotic manipulators with parametric uncertainties. 1985 American Control Conference.
2967-2968.
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Langari, R.
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Nonlinear control via fuzzy linguistic control. 1-5.
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Langari, R.
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Nonlinear formulation of a class of fuzzy linguistic control algorithms. 1985 American Control Conference.
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LANGARI, R.
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SYNTHESIS OF NONLINEAR CONTROL STRATEGIES FROM FUZZY-LOGIC CONTROL ALGORITHMS. 337-342.
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Langari, R., & Tomizuka, M.
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Analysis of stability of a class of fuzzy linguistic controllers with internal dynamics. American Society of Mechanical Engineers (Paper).
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Shahruz, S. M., & Langari, G.
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Design of compensators for linear parameter-varying feedback systems by the gain scheduling technique. 1985 American Control Conference.
641-642.
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Shahruz, S. M., Langari, G., & Tomizuka, M.
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Optimal damping ratio for linear second-order systems. 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).
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Langari, G., & Tomizuka, M.
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Analysis and synthesis of fuzzy linguistic control systems. 35-42.
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Langari, G., & Tomizuka, M.
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Fuzzy linguistic model based control. 620-625.
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Langari, G., & Tomizuka, M.
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Stability of fuzzy linguistic control systems. 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).
2185-2190.
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Langari, G., & Tomizuka, M.
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Fuzzy linguistic control of arc welding. 157-162.
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Langari, R., Walker, R. A., Coleman, N. E., & Yip, P.
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MATRIX//X/AR: AN AUTOMATION AND ROBOTICS MODELING, SIMULATION AND CONTROL LAW DEVELOPMENT ENVIRONMENT. 16 th AIAA Computational Fluid Dynamics Conference.
615-621.
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Langari, R., Walker, R. A., Coleman, N. E., & Yip, P.
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Matrix
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Dornfeld, D. A., Tomizuka, M., & Langari, G.
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MODELING AND ADAPTIVE CONTROL OF ARC WELDING PROCESSES. 53-64.
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Ko, S., Langari, R., & IEEE, ..
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Shared control between human driver and machine based on game theoretical model predictive control framework. 2005 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS, VOLS 1 AND 2.
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webpage
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Soltani-Zarrin, R., Zeiaee, A., & Langari, R.
(2016).
Moving exoskeletons from sci-fi into medical rehabilitation and therapy
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Soltani-Zarrin, R., Zeiaee, A., & Langari, R.
(2016).
Moving exoskeletons from sci-fi into medical rehabilitation and therapy
editor of
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book
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Farinwata, S. S., Filev, D. P., & Langari, R.
(2000).
Fuzzy Control Synthesis and Analysis
Langari, G. (Eds.),
Wiley.
-
Yen, J., Langari, R., & Zadeh, L. A.
(1995).
Industrial applications of fuzzy logic and intelligent systems
Langari, G. (Eds.),
Inst of Electrical &.
-
Society, I., Institute of Electrical and Electronics Engineers New York, N. Y., Systems, I., Society, K., Melbourne, U. O., University, T., ... Xplore, I.
(1994).
Proceedings of the ... IEEE International Conference on Fuzzy Systems
Langari, G. (Eds.),
-
Farinwata, S. S., Filev, D. P., & Langari, R.
(2000).
Fuzzy Control Synthesis and Analysis
Langari, G. (Eds.),
Wiley.
Research
principal investigator on
co-principal investigator on
awards and honors
- Fellow, conferred by American Society of Mechanical Engineers - (New York, New York, United States), 2009
- J. Mike Walker '66 Faculty Graduate Teaching Award, conferred by Texas A&M University - (College Station, Texas, United States), 2004
- BP Amoco Faculty Award for Teaching Excellence, conferred by Texas A&M University - (College Station, Texas, United States), 2001
- NASA Faculty Fellowship, conferred by Ames Research Center - (Mountain View, California, United States), 2000
- Faculty Fellow, conferred by Bechtel - (San Francisco, California, United States), 2000
- Welliver Faculty Fellowship, conferred by Boeing - (Chicago, Illinois, United States), 1999
- Peggy L. and Charles L. Brittan Teaching Award for Outstanding Undergraduate Teaching, conferred by Texas A&M University - (College Station, Texas, United States), 1998
- Association of Former Students College-Level Teaching Distinguished Achievement Award, The, conferred by Texas A&M University - (College Station, Texas, United States), 1997
- Young Investigator Award, conferred by Texas A&M University - (College Station, Texas, United States), 1994
Teaching
teaching activities
- ENGR485 Directed Studies Instructor
- ENGR491 Hnr-research Instructor
- MEEN684 Professional Internship Instructor
- MEEN684 Professional Internship Instructor
- MEEN685 Directed Studies Instructor
- MEEN691 Research Instructor
- MXET300 Mechatronics I Instructor
- MXET691 Research Instructor
Works By Students
chaired theses and dissertations
-
Lin, Chen-Han (2014-12). A Hybrid Model Based and Statistical Fault Diagnosis System for Industrial Process.
-
Sung, Hsin-Chuan (2015-05). Balancing Robot Control and Implementation.
-
Waikar, Shraddha Prakash (2011-05). Sorting of Coffee Beans for 'Potato Defect' in East African Countries.
Background
education and training
- Ph.D. in Mechanical Engineering, University of California, Berkeley - (Berkeley, California, United States) 1991
- M.Sc. in Mechanical Engineering, University of California, Berkeley - (Berkeley, California, United States) 1983
- B.Sc. in Mechanical Engineering, University of California, Berkeley - (Berkeley, California, United States) 1981
Contact
first name
- Gholamreza
has last name
- Langari
mailing address
-
Texas A&M University
Engineering Technology
3367 TAMU
College Station, TX 77843-3367
USA
Other
- rlangari@tamu.edu