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基于对角递归神经网络的非线性逆动态控制
引用本文:戴杨,李平,陈雪艳. 基于对角递归神经网络的非线性逆动态控制[J]. 甘肃科学学报, 2005, 17(2): 31-33
作者姓名:戴杨  李平  陈雪艳
作者单位:辽宁石油化工大学,信息工程学院,辽宁,抚顺,113001
摘    要:采用2个对角递归神经网络(DRNN)构成非线性逆动态控制系统,一个用作辨识器,逼近系统的正模型,为逆动态控制提供系统的灵敏度;另一个用作控制器,逼近系统的逆动态模型,再与原系统串联组成伪线性系统.仿真结果表明该控制方法实现了对非线性系统的有效控制。

关 键 词:逆动态控制 对角递归神经网络 反馈线性化 非线性系统
文章编号:1004-0366(2005)02-0031-03
修稿时间:2004-09-26

Nonlinear Inverse Dynamic Control System Based on Diagonal Recurrent Neural Networks
DAI yang,LI Ping,CHEN Xue-yan. Nonlinear Inverse Dynamic Control System Based on Diagonal Recurrent Neural Networks[J]. Journal of Gansu Sciences, 2005, 17(2): 31-33
Authors:DAI yang  LI Ping  CHEN Xue-yan
Abstract:Two diagonal recurrent neural networks (DRNN) are utilized to realize the inverse dynamic control strategies for nonlinear systems. One is used as an identifier to approximate the positive model which provides the sensitivity information of the system, and the other is used as a controller to approximate the inverse dynamic model and then it is combined with the system to construct a pseudo-linear system. The simulation results have shown that the method has a much better performance in the non-linear systems.
Keywords:inverse dynamic control  diagonal recurrent neural networks (DRNN)  feedback lineariza-tion  nonlinear system
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