基于模糊动态模型的多变量系统模糊控制

采用模糊动态模型对多变量复杂非线性系统进行模糊控制.首先针对局部线性动态模 型设计状态反馈控制器,然后利用模糊推理确定整个系统的控制;在一系列局部模型通过模糊 隶属函数连接得到的连续的全局模型中,全面考虑其它关联子系统对标称线性系统的摄动,并 利用大系统分散控制关联稳定性的概念和方法,得到了闭环模糊系统稳定的充分条件.仿真例 子验证了该设计方法的正确性.

Fuzzy Control of Multivariable Systems Based on Fuzzy Dynamic Model

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.