Title :
A Less Conservative H Fault-Tolerant Control for NCS Based on T-S Fuzzy Model
Author :
Jun, Wang ; Li Wei ; Li ZHanming
Author_Institution :
Key Lab. of Adv. Control for Ind. Process in Gansu Province, Lanzhou Univ. of Technol., Lanzhou, China
Abstract :
For a class of nonlinear networked control system (NCS) with network-induced delay and packed dropout, which is influenced by external disturbance with limited energy in transmission, a T-S fuzzy model is employed to represent the nonlinear controlled plant. By using appreciate Lyapunov-Krasovskii function, a H∞ integrality sufficient condition against actuator failures is derived based on delay-dependent approach, and the H∞ fault-tolerant controller gain can be obtained via solving several linear matrix inequalities(LMIs). Because of the lower bound of the time-delay and free weighting matrixes are introduced, and the model transformation has not been used. Then a less conservative result is obtained. Finally, an example is used to illustrate the effectiveness and feasibility of proposed approach.
Keywords :
H∞ control; Lyapunov methods; control system synthesis; delays; fault tolerance; fuzzy set theory; linear matrix inequalities; networked control systems; nonlinear control systems; H∞ fault-tolerant controller; H∞ integrality sufficient condition; NCS; T-S fuzzy model; appreciate Lyapunov-Krasovskii function; delay-dependent approach; linear matrix inequalities; network-induced delay; nonlinear networked control system; packed dropout; Actuators; Artificial neural networks; Bismuth; Delay; Fault tolerance; Fault tolerant systems; Fuzzy systems; Fault-tolerant control; H∞; Networked Control System; T-S Fuzzy Model; delay-dependent;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on
Conference_Location :
Shangshai
Print_ISBN :
978-1-4244-9010-3
DOI :
10.1109/ICMTMA.2011.28