New neural adaptive control of nonlinear discrete-time systems

被引：0
|
作者：
Zhu, Y [1 ]
Qian, JX [1 ]
机构：
[1] Zhejiang Univ, Inst Ind Proc Control, Hangzhou 310027, Peoples R China
来源：
PROCEEDINGS OF THE 1998 AMERICAN CONTROL CONFERENCE, VOLS 1-6 | 1998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：
For a class of discrete-time nonlinear systems, an available adaptive control scheme using multi-layered neural networks is presented. It can not only solve the tracking problem but also simplify the neural network model. It is also shown that the closed-loop system is uniformly ultimately bounded and parameters of the neural networks are convergent.
引用
收藏
页码：525 / 526
页数：2
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