A hyperstable neural network for the modelling and control of nonlinear systems

被引：0
|
作者：
K. Warwick
Q. M. Zhu
Z. Ma
机构：
[1] University of Reading,Department of Cybernetics
[2] Aston University,Department of Mechanical and Electrical Engineering
[3] Center for Engineering Research Technikon Natal,undefined
来源：
Sadhana | 2000年 / 25卷
关键词：
Computer control; neural networks; nonlinear systems; adaptive; control;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A multivariable hyperstable robust adaptive decoupling control algorithm based on a neural network is presented for the control of nonlinear multivariable coupled systems with unknown parameters and structure. The Popov theorem is used in the design of the controller. The modelling errors, coupling action and other uncertainties of the system are identified on-line by a neural network. The identified results are taken as compensation signals such that the robust adaptive control of nonlinear systems is realised. Simulation results are given.
引用
收藏
页码：169 / 180
页数：11
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