DocumentCode :
2738180
Title :
Robust H fault-tolerant control for networked control system based on Takagi-Sugeno Fuzzy Model
Author :
Li, Wei ; Jiang, Dongnian
Author_Institution :
Sch. of Electr. & Inf. Eng., Lanzhou Univ. of Technol., Lanzhou, China
Volume :
2
fYear :
2009
fDate :
20-22 Nov. 2009
Firstpage :
449
Lastpage :
456
Abstract :
This paper investigates the problem of robust H fault-tolerant control for a class of uncertain nonlinear networked control system (NCSs) with external disturbance. A T-S fuzzy model is employed to represent the nonlinear controlled plant in the NCSs. Both networked-induced delay and packet dropout in transmission are addressed. By using Lyapunov-Krasovskii functional, introducing some slack matrices, the less conservative robust H integrity design for NCSs against failures of actuator and sensor is analyzed based on a delay-dependent approach, and the robust H fault-tolerant controller gain can be obtained via solving several linear matrix inequalities (LMIs). Finally, an example is used to illustrate the effectiveness and the feasibility of the proposed approach.
Keywords :
H control; Lyapunov methods; delays; fault tolerance; fuzzy set theory; linear matrix inequalities; nonlinear control systems; robust control; uncertain systems; H fault-tolerant control; Lyapunov-Krasovskii functional; Takagi-Sugeno fuzzy model; linear matrix inequalities; networked-induced delay; packet dropout; robust control; uncertain nonlinear networked control system; Control systems; Failure analysis; Fault tolerant systems; Fuzzy control; Hydraulic actuators; Linear matrix inequalities; Networked control systems; Nonlinear control systems; Robust control; Robustness; Networked Control System; T-S fuzzy model; delay-dependent; fault-tolerant control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
Type :
conf
DOI :
10.1109/ICICISYS.2009.5358365
Filename :
5358365
Link To Document :
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