Fuzzy-Model-Based Nonfragile Guaranteed Cost Control of Nonlinear Markov Jump Systems Academic Article

abstract

• 2017 IEEE. This paper investigates the problem of nonfragile guaranteed cost control for discrete-time Takagi-Sugeno fuzzy Markov jump systems with time-varying delays. With the help of the parallel distributed compensation, a nonfragile fuzzy controller is designed. Then via Lyapunov-Krasovskii functional approach, sufficient conditions are obtained ensuring that the resulting closed-loop system is asymptotically stable with an upper bound of the guaranteed cost index. The optimal upper bound of the guaranteed cost index and the controller gain can be achieved via the optimization technique. Finally, an example is presented to show the effectiveness of the proposed new design techniques.

authors

• Huang, Tingwen

published proceedings

• IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS

author list (cited authors)

• Wu, Z., Dong, S., Shi, P., Su, H., Huang, T., & Lu, R.

citation count

• 145

complete list of authors

• Wu, Zheng-Guang||Dong, Shanling||Shi, Peng||Su, Hongye||Huang, Tingwen||Lu, Renquan

publication date

• August 2017

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Transactions on Systems, Man, and Cybernetics: Systems  Journal

keywords

• Guaranteed Cost Control
• Markov Jump Systems
• Nonfragile Control
• Takagi-sugeno (t-s) Fuzzy Model

Digital Object Identifier (DOI)

• 10.1109/TSMC.2017.2675943

start page

• 2388

end page

• 2397

volume

• 47

issue

• 8

URL

• http://dx.doi.org/10.1109/tsmc.2017.2675943