Title :
Adaptive Fuzzy Decentralized Control for a Class of Large-Scale Nonlinear Systems with MIMO Subsystems
Author :
Yousef, H. ; El-Madbouly, E. ; Eteim, D. ; Hamdy, M.
Author_Institution :
Fac. of Eng., Alexandria Univ.
Abstract :
This paper presents a fuzzy basis function approach for adaptive decentralized control of a class of large-scale nonlinear systems with MIMO subsystems. Hybrid adaptive-robust tracking control schemes which are based on a combination of the HT tracking theory, and fuzzy control design are developed such that all the states and signals are bounded and the HT tracking control performance is guaranteed. In addition, each subsystem is able to adaptively compensate for disturbances and interconnections with unknown bounds. The resultant decentralized control with multi-controller architecture guarantee stability and convergence of the output errors to zero asymptotically, by local output-feedback. Simulation results on the control of a model of a nonlinear electrical machine are presented to illustrate the effectiveness of the proposed controller
Keywords :
MIMO systems; adaptive control; convergence; decentralised control; feedback; fuzzy control; large-scale systems; nonlinear control systems; stability; HT tracking theory; MIMO subsystems; adaptive fuzzy decentralized control; adaptive-robust tracking control; convergence; fuzzy basis function; fuzzy control design; large-scale nonlinear systems; local output-feedback; multicontroller architecture; stability; Adaptive control; Asymptotic stability; Distributed control; Fuzzy control; Fuzzy systems; Large-scale systems; MIMO; Nonlinear systems; Programmable control; Signal design;
Conference_Titel :
Computer Engineering and Systems, The 2006 International Conference on
Conference_Location :
Cairo
Print_ISBN :
1-4244-0271-9
Electronic_ISBN :
1-4244-0272-7
DOI :
10.1109/ICCES.2006.320420
