Fuzzy Control of Multivariable Systems Based on Fuzzy Dynamic Model
基于模糊动态模型的多变量系统模糊控制

A fuzzy control system for multivariable complex nonlinear systems is presented, which is based on fuzzy dynamic model. 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 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 large scale system. The validity of the fuzzy model based control technique is illustrated by a simulation example.