Title :
Fuzzy control of multivariable systems based on fuzzy dynamic model
Author :
Qu, Sun ; RenHou, Li
Author_Institution :
Xi´´an Jiaotong Univ., China
Abstract :
A fuzzy control system for multivariable complex nonlinear systems is presented, which is based on a fuzzy dynamic model. Firstly, the fuzzy state feedback control law is designed for each local linear model and the control law for the overall system is determined through fuzzy inference. A set of local linear models are linked together by a fuzzy membership function to obtain the continuous global model. By considering the fuzzy system as a set of nominal linear systems subject to perturbations contributed by other interacting subsystems, a sufficient condition for the stability of the closed-loop fuzzy system is derived via the concept of connective stability in decentralized control of a large-scale system. The validity of the fuzzy model based control technique is illustrated by a simulation example
Keywords :
closed loop systems; control system synthesis; decentralised control; fuzzy control; fuzzy logic; fuzzy set theory; large-scale systems; multivariable control systems; nonlinear control systems; state feedback; closed-loop fuzzy system; connective stability; continuous global model; fuzzy dynamic model; fuzzy inference; fuzzy membership function; fuzzy model based control technique; fuzzy state feedback control law; local linear model; multivariable complex nonlinear systems; sufficient stability condition; Fuzzy control; Fuzzy sets; Fuzzy systems; Linear feedback control systems; Linear systems; MIMO; Nonlinear dynamical systems; Nonlinear systems; Stability; State feedback;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.862723
