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

页码：525 / 526

页数：2

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