一种非线性自适应逆噪声控制器设计及其仿真

基于模糊神经网络算法研究了非线性系统的噪声消除问题,设计了一类非线性自适应逆噪声消除控制器。该文利用模糊神经网络融合算法所具有的对任意函数的精确逼近性,对非线性系统进行建模和逆建模,从而为非线性自适应逆噪声控制器的有效性提供了保障。最后将所设计的控制器用于仿真实例,研究表明该噪声控制器能有效地消除非线性被控对象的噪声污染。说明了该方法的可行性和有效性。

A type of Nonlinear Adaptive Inverse Noise Controller and Its Simulation

Based on Fuzzy Neural Network,the noise canceling problem of the nonlinear system was studied.A type of nonlinear adaptive noise controller was proposed.The merit of Fuzzy neural network which could accurately approximate any nonlinear system was applied to modeling and inverse modeling of nonlinear system and supplies for the design of nonlinear adaptive noise controller.At last,the simulation is used to verify the effectiveness and feasibility of the proposed method.