Adaptive output feedback control for general nonlinear systems using multilayer neural networks

被引：0
|
作者：
Zhang, T [1 ]
Ge, SS [1 ]
Hang, CC [1 ]
机构：
[1] Natl Univ Singapore, Dept Elect Engn, Singapore 119260, Singapore
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：
In this paper, the adaptive output feedback control problem is investigated using multilayer neural networks (MNNs) for a class of general nonlinear systems. The adaptive output feedback controller is developed based on a high-gain observer which is used to estimate the time derivatives of the system output. The Lyapunov stability of the resulting closed-loop system is guaranteed and the tracking error converges to a small neighborhood of the origin. The effectiveness of the proposed controller is illustrated through an example of composition control for a continuously stirred tank reactor (CSTR) system.
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页码：520 / 524
页数：5
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