Fuzzy model and control of nonlinear networked control systems

Author

Yan, Wang ; Weili, Hu ; Weihua, Fan

Author_Institution

Nanjing Univ. of Sci. & Technol., China

Volume

2

fYear

2005

fDate

23-26 Sept. 2005

Firstpage

1106

Lastpage

1109

Abstract

Tins paper is concerned with a class of nonlinear networked control systems with network-induced delay shorter than one sample period. Based on the assumptions that the actuator node is time-driven and the controller node is event-driven, a Takagi-Sugeno (T-S) fuzzy model is used to approximate the nonlinear networked systems with delay. By means of Lyapunov functions, a method for designing a fuzzy state feedback controller to satisfy the prescribed H_∞ performance index is proposed. The results are presented in terms of linear matrix inequalities (LMIs) which can be solved by LMI toolbox in Matlab 6.5. Finally, a numerical example is given to validate the proposed method.

Keywords

H^∞ control; Lyapunov methods; control system synthesis; delays; fuzzy control; linear matrix inequalities; nonlinear control systems; state feedback; H_∞ performance index; LMI; Lyapunov functions; Takagi-Sugeno fuzzy model; delay; fuzzy state feedback controller; linear matrix inequalities; nonlinear networked control systems; Actuators; Delay systems; Fuzzy control; Fuzzy systems; Lyapunov method; Mathematical model; Networked control systems; Nonlinear control systems; Takagi-Sugeno model; Tin;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2005. Proceedings. 2005 International Conference on

Print_ISBN

0-7803-9335-X

Type

conf

DOI

10.1109/WCNM.2005.1544235

Filename

1544235