基于快速BP算法的非线性系统神经网络自校正控制器

The design and research of nonlinear system neural network self-Turning controller based on the fast BP algorithm

提出了对于一大类未知、不确定、时变单输入单输出离散非线性系统 ,利用三层BP网络 ,采用快速BP算法构成学习和自校正控制的方案。针对同一被控对象 ,设计了PID控制器 。

A learning and adaptive control scheme for a general class of unknown,uncertainty,variant with time SISO discrete-time nonlinear systems using three-layer BP neural network and fast BP algorithm is presented.At the same time,as far as the same plant is concerned,author design a PID controller,the merits of neural network self-turning controllers is demonstrated by simulation studies.