Fuzzy control of multivariable systems based on fuzzy dynamic model
Sun Qu, Renhou Li · 2002
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.