Stabilization of Cascaded Nonlinear Networks with Multiple Integral ISS Dynamic Uncertainties

被引:0
|
作者
Wang, Xinghu [1 ]
Su, Youfeng [2 ]
Xu, Dabo [3 ]
机构
[1] Univ Sci & Technol China, Dept Automat, Hefei 230027, Anhui, Peoples R China
[2] Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350116, Fujian, Peoples R China
[3] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Jiangsu, Peoples R China
来源
2018 37TH CHINESE CONTROL CONFERENCE (CCC) | 2018年
基金
中国国家自然科学基金;
关键词
Stabilization; integral input-to-state stable; nonlinear systems; dynamic uncertainties; GLOBAL ROBUST STABILIZATION; OUTPUT REGULATION; STRONG IISS; SYSTEMS; FRAMEWORK; FEEDBACK;
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
This paper is to address a theoretical result on a global stabilization technique for a class of nonlinear interconnected systems or namely large-scale dynamic networks. The problem is of interest and has strong impacts in resolving complex nonlinear output regulation problems. To handle the problem, we first present a new tractable condition, based on an iISS (integral input-to-state stable) network stability criterion proposed in literature, for nonlinear networks with cascade interconnection and iISS dynamic uncertainties. Then, we develop a recursive procedure for achieving iISS based global robust stabilization design. Distinguished from relevant studies in recent literature, our study is strictly extended and also leads to constructive iISS-Lyapunov functions for the closed-loop system.
引用
收藏
页码:780 / 784
页数:5
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