Title :
Fuzzy adaptive decentralized control for nonlinear systems with unknown high-frequency gain sign based on k- filter
Author :
Liu, Changliang ; Tong, Shaocheng
Author_Institution :
Liaoning Univ. of Technol., Jinzhou, China
Abstract :
In this paper, a fuzzy adaptive decentralized control approach is proposed for a class of large-scale nonlinear systems with unknown high-frequency gain sign, unknown nonlinearities, and the output measurement. In the backstepping recursive design, fuzzy logic systems are employed to approximate the unknown nonlinear function, and Nussbaum gain technique is taken to solve the unknown high-frequency gain sign. It is proved that the proposed fuzzy adaptive decentralized control scheme can guarantee that all the signals in the closed-loop system are uniformly ultimately bounded(UUB). Simulation results have shown the effectiveness of the proposed method.
Keywords :
adaptive control; closed loop systems; decentralised control; filtering theory; fuzzy control; large-scale systems; nonlinear control systems; recursive estimation; K-filter; Nussbaum gain technique; backstepping recursive design; closed loop system; fuzzy adaptive decentralized control; fuzzy logic systems; large scale nonlinear system; uniformly ultimately bounded; unknown high frequency gain sign; unknown nonlinear function; unknown nonlinearities; Adaptive control; Adaptive filters; Backstepping; Distributed control; Fuzzy control; Fuzzy systems; Gain measurement; Large-scale systems; Nonlinear systems; Programmable control; Backstepping; Fuzzy Adaptive Decentralized Control; High-frequency Gain; K- filter; Large-scale Nonlinear Systems; Stability;
Conference_Titel :
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location :
Xuzhou
Print_ISBN :
978-1-4244-5181-4
Electronic_ISBN :
978-1-4244-5182-1
DOI :
10.1109/CCDC.2010.5498286
