一类非线性系统的混合自适应模糊辨识与控制

Hybrid Adaptive Fuzzy Identification and Fuzzy Control for a Class of Nonlinear System

采用非线性模糊系统(即第二类模糊逻辑系统)来实现一类非线性系统的模糊辨识和控制,结合模型辨识过程中的模型误差和模型控制过程中的跟踪误差,提出了一个混合自适应律,运用BP算法对该自适应律进行了在线调整,使辨识参数和控制参数同时达到最优;利用Lyapunov方法证明了该控制算法的稳定性,改善了跟踪速度等性能.

Using the fuzzy system with nonlinear parameters,we produce the fuzzy identification of a class of nonlinear systems combining the fuzzy identification and the fuzzy control.Using the modelling error and the tracking error,we present a hybrid adaptive law,and a common set of parameters is adjusted on line by BP algorithm which make the identification and control parameter best at the same time.The control algorithm can guarantte the stability of the closed-loop system and the improvement of parameter′s convergence and the tracking velocity.