Containment Control for Multiple Unknown Second-order Nonlinear Systems under a Directed Graph Based on Neural Networks

被引：0
|
作者：
Mei Jie [1 ]
Ren Wei [2 ]
Ma Guangfu [3 ]
机构：
[1] Harbin Inst Technol, Shenzhen Grad Sch, Shenzhen 518055, Peoples R China
[2] Univ Calif Riverside, Riverside, CA 92521 USA
[3] Harbin Inst Technol, Harbin 150001, Peoples R China
来源：
PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE | 2012年
基金：
美国国家科学基金会; 中国国家自然科学基金;
关键词：
Multi-agent systems; containment control; nonlinear system; neural networks; MULTIAGENT SYSTEMS; ADAPTIVE-CONTROL; CONSENSUS; SYNCHRONIZATION; ALGORITHMS; TRACKING; LEADER;
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, we first study the distributed containment control problem for multiple second-order nonlinear systems with multiple leaders in the presence of unknown nonlinearities and external disturbances under a directed graph that characterizes the interaction among the leaders and the followers. A distributed adaptive control algorithm based on the approximation capability of neural networks is proposed. We present a necessary and sufficient condition on the directed graph such that the containment error can be reduced as small as desired. We then present a necessary and sufficient condition on leaderless consensus for multiple second-order nonlinear systems with unknown nonlinearities and external disturbances.
引用
收藏
页码：6450 / 6455
页数：6
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