基于神经网络内模的非线性控制系统  

Nonlinear Control Systems Based on NN Internal Model

作　　者：郭勇[1] 周浚哲[1] 王大志[1] 

机构地区：[1]沈阳工业学院信息科学与工程分院,辽宁沈阳110016

出　　处：《沈阳工业学院学报》2002年第1期54-57,共4页Journal of Shenyang Institute of Technology

摘　　要：从某类可以被多层 BP神经网络建模的非线性系统出发 ,给出一种控制方法 .PID控制器和 IMC控制相结合 .仿真结果表明 BP网络用作IMC控制器的有效性 .In this article, the authors introduce a method of controlling certain types of nonlinear dynamical systems whose dynamics can be modelled by a multilayer BP neural network. A PID controller is added to improve the IMC controller .Simulation results demonstrate that the efficiency of BP network is like an IMC method. The controller is of the faster and better tracking performance than that of the conventional controller.

关 键 词：非线性控制系统 内模控制器 BP神经网络 系统可逆性 

分 类 号：O231.2[理学—运筹学与控制论] TP183[理学—数学]