一种用于非线性系统的神经网络自适应控制系统结构

A Structure of Adaptive Neuro-Controller and Its Application to Nonlinear System

本文提出了一种用于非线性系统的神经网络自适应控制结构。仿真计算表明它具有较好的跟随性和抗干扰性指标，对系统参数的变化具有较强的鲁棒性。在系统结构和寻优方法上，它不依赖于被控对象的数学模型，所以本文提出的系统结构对于非线性系统的设计、综合具有比较普遍性意义。

This paper plesents a structure of adaptive neuro-controlled which can be used in nonlinearsystem. Simulation results reveal that it has good traceability and noiseproof featrue,also, it has goodrobustness to the variation of parameters. It has no relation of the mathematical model of controlledplant in system structure and search method,so it has general significance in the design and synthesis ofnonlinear system.