T-S Fuzzy Control of Uncertain Nonlinear Networked Control Systems

Author

Deng, Weihua ; Fei, Minrui ; Li, Kang

Author_Institution

Sch. of Mechatronical Eng. & Autom., Shanghai Univ., Shanghai

fYear

2009

fDate

22-24 Jan. 2009

Firstpage

36

Lastpage

40

Abstract

This paper investigates the stabilization of nonlinear networked control systems (NCSs) subject to two types of uncertainties. Firstly, the nonlinear NCS is modeled as a continuous-time Takagi-Sugeno (T-S) fuzzy system, and network-induced delays are represented using fuzzy rules which are designed by the parallel distributed compensation (PDC) technique. Then the norm-bounded uncertainty existing in model of the plant is considered, and corresponding state-feedback fuzzy controller is designed with guaranteed stability. Simulation result confirms the efficacy of the proposed fuzzy controller.

Keywords

compensation; delays; distributed parameter systems; fuzzy control; fuzzy systems; nonlinear control systems; stability; state feedback; uncertain systems; T-S fuzzy control; continuous-time Takagi-Sugeno fuzzy system; distributed compensation technique; network-induced delays; state-feedback fuzzy controller; uncertain nonlinear networked control systems; Automatic control; Control systems; Delay; Fuzzy control; Fuzzy systems; Networked control systems; Nonlinear control systems; Stability; Takagi-Sugeno model; Uncertainty; Fuzzy controller; T-S fuzzy systems; networked control Systems; stabilization;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computer Control, 2009. ICACC '09. International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-3330-8

Type

conf

DOI

10.1109/ICACC.2009.8

Filename

4777305