Robust backstepping control of nonlinear systems in discrete-time using multilayer neural networks

被引：0
|
作者：
Jagannathan, S [1 ]
机构：
[1] Automated Anal Corp, Peoria, IL 61614 USA
来源：
PROCEEDINGS OF THE 36TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5 | 1997年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A multilayer neural network (NN) controller for the robust back stepping control of nonlinear systems in discrete-time is presented. Control action is employed to achieve tracking performance for unknown nonlinear systems. Tuning methods are derived for the multilayer NN based on the delta rule. Uniform ultimate boundedness of the tracking error and the weight estimates' are presented without using the PE condition. No learning phase is needed for the NN and initialization of the network weights is straightforward.
引用
收藏
页码：480 / 485
页数：6
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