摘要
本文研究了多变量系统的自适应神经元网络智能控制，基于神经元无模型控制的特点［１］，提出了一种非常简单的工程控制方法，这种方法通过粗略计算静态解耦矩阵，对多变量系统进行静态解耦，使用自适应神经元网络对解耦系统进行学习控制。仿真实验表明了这种新方法的有效性。
Intelligent control using the adaptive neural network for multivariable systems is studied in this poper. Based on the advantage of neuron model-free control presented by the author, a very simple method for engineering control is proposed. A multivariable plant is decoupled statically via roughly calculating its static matrix. Then the learning control algorithm of the adaptive neural network for the decoupled plant is suggested.The simulation resultS illustrate the feasibility of this new method.
出处
《电工技术学报》
EI
CSCD
北大核心
1995年第2期69-73,共5页
Transactions of China Electrotechnical Society
基金
工业控制技术国家重点开放实验室资助
关键词
智能化
自学习控制
自动控制
Intelligent control Multivariable systems Static decoupling Meural network
