Robust Passivity and Passification for a Class of Singularly Perturbed Nonlinear Systems with Time-Varying Delays and Polytopic Uncertainties via Neural Networks

被引:6
作者
Wen, Shiping [1 ,2 ]
Zeng, Zhigang [1 ,2 ]
Huang, Tingwen [3 ]
Bao, Gang [1 ,2 ]
机构
[1] Huazhong Univ Sci & Technol, Dept Control Sci & Engn, Wuhan 430074, Peoples R China
[2] Minist China, Key Lab Image Proc & Intelligent Control Educ, Wuhan 430074, Peoples R China
[3] Texas A&M Univ Qatar, Doha 5825, Qatar
关键词
Passivity and passification; SPNS; Time-varying delay; Neural network; STABILITY BOUNDS; CONTROL DESIGN; STABILIZATION;
D O I
10.1007/s00034-012-9509-8
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper investigates the problem of robust passivity and passification for a class of singularly perturbed nonlinear systems (SPNS) with time-varying delays and polytopic uncertainties via neural networks. By constructing a proper functional and the linear matrix inequalities (LMIs) technique, some novel sufficient conditions are derived to make SPNS passive. The allowable perturbation bound xi* can be determined via certain algebra inequalities, and the proposed controller based on neural network will make SPNS with polytopic uncertainties passive for all xi is an element of (0, xi*). Finally, a numerical example is given to illustrate the theoretical results.
引用
收藏
页码:1113 / 1127
页数:15
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