Adaptive neural control of a class of MIMO nonlinear systems

被引：0
|
作者：
Ge, SS [1 ]
Wang, C [1 ]
机构：
[1] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 117576, Singapore
来源：
PROCEEDINGS OF THE 40TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5 | 2001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：
In this paper, an adaptive neural control scheme is proposed for a class of uncertain MIMO nonlinear systems in block-triangular form. By exploiting the special structural property of the MIMO system, the developed scheme avoids the controller singularity problem completely without calculating the inverse of the estimated "decoupling matrix". Moreover, the stability of the whole closed-loop system is concluded in a nested iterative manner. The proposed scheme offers a systematic design procedure for the control of a class of uncertain MIMO nonlinear systems.
引用
收藏
页码：3530 / 3535
页数：6
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