Variable Neural Adaptive Robust Output Feedback Control of Uncertain Systems

被引：0

作者：

Lian, Jianming ^{[1
]}

Zhang, Wei ^{[2
]}

Hu, Jianghai ^{[3
]}

Zak, Stanislaw H. ^{[3
]}

机构：

[1] Florida State Univ, Ctr Adv Power Syst, Tallahassee, FL 32310 USA

[2] Univ Calif Berkeley, Dept Elect Engn & Comp Sci, Berkeley, CA 94709 USA

[3] Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47907 USA

来源：

2010 AMERICAN CONTROL CONFERENCE | 2010年

基金：

美国国家科学基金会;

关键词：

MIMO NONLINEAR-SYSTEMS; LYAPUNOV FUNCTIONS; HYBRID SYSTEMS; NETWORKS;

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：

The design of an adaptive robust output feedback controller is presented for a class of multi-input multi-output uncertain systems. The proposed output feedback controller uses a variable-structure radial basis function (RBF) network to approximate unknown system dynamics. The output feedback implementation is realized employing a high-gain observer. The structure variation of the RBF network is taken into account in the stability analysis of the closed-loop system using the piecewise quadratic Lyapunov function. The performance of the proposed variable neural adaptive robust output feedback controller is illustrated with simulations.

引用

页码：99 / 104

页数：6

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