董燕青. 快速收敛的神经网络非线性系统控制器模型[J]. Journal of Xinjiang University (Natural Science Edition in Chinese and English), 2001, (1).DOI：
快速收敛的神经网络非线性系统控制器模型
摘要
基于神经网络的非线性系统控制器
近年来已有不少学者对其进行了研究 .本文在其他研究者所做工作的基础之上
提出了一种新的控制器模型 .数值模拟实验表明
与以前的研究者提出的模型相比
新模型的收敛速度更快 .
Abstract
Controllers based on neural network for nonlinear system have been studied by a number of researchers recently.Basing on previous researchers\' work
in this paper we present a simpler model of controller.Simulation results show that our model converges at a faster rate than those of previous researchers.
[4 ]Barto AG,Sutton RS,Anderson CW.Neuronlike elements that can solve difficult learning control prob-lems[J].IEEE Trans on Systems Man and Cybernetics,1983,13(5) :142 - 146 .
Anderson CW.L earning to control an inverted pendulum using neural networks[J].IEEE Control Sys-tems Magazine,1989,9(3) :393- 394 .
京公网安备11010802024621