Hybrid Multiparametric Model Predictive Control with application to the Neuromuscular Blockade Conference Paper

abstract

• 2018 IEEE. This paper presents a framework for the development of hybrid multiparametric model predictive controller for biomedical systems that are described using the Hill model. The framework is tested for the process of neuromuscular blockade. Based on a detailed mathematical model, the hybrid control strategy is designed, tested and evaluated in a comparative manner with the nominal mp-MPC. To test the performances of the controllers, a set of 8 patients is used in the induction phase and analyzed. The results of the simulations show improved performances by using the hybrid strategy.

name of conference

• 2018 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)

authors

• Pistikopoulos, Stratos

published proceedings

• 2018 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION, QUALITY AND TESTING, ROBOTICS (AQTR)

author list (cited authors)

• Nascu, I., Pistikopoulos, E., & Nascu, I.

citation count

• 0

complete list of authors

• Nascu, Ioana||Pistikopoulos, Efstratios||Nascu, Ioan

publication date

• July 2018

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• 2018 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION, QUALITY AND TESTING, ROBOTICS (AQTR)  Journal

keywords

• Explicit/multiparametric Model Predictive Control
• Hybrid Systems
• Inter- And Intra- Patient Variability
• Neuromuscular Blockade
• Nonlinearity

Digital Object Identifier (DOI)

• 10.1109/AQTR.2018.8402747

International Standard Book Number (ISBN) 13

• 9781538622049

start page

• 1

end page

• 6

URL

• http://dx.doi.org/10.1109/aqtr.2018.8402747