Adaptive Synchronization of Multi-agent Systems with Unknown Nonlinear Dynamics

被引：0
|
作者：
Liu, Gaoyang [1 ]
Yu, Hui [1 ]
Xia, Xiaohua [2 ]
机构：
[1] China Three Gorges Univ, Coll Sci, Yichang 443002, Peoples R China
[2] Univ Pretoria, Ctr New Energy Syst, Dept Elect & Elect Comp Engn, ZA-0002 Pretoria, South Africa
来源：
2013 10TH IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION (ICCA) | 2013年
关键词：
LEADER-FOLLOWING CONSENSUS; VELOCITY; AGENTS; COORDINATION; SEEKING;
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 consider the adaptive synchronization problem for multi-agents systems with unknown nonlinear dynamics. The topologies of the networks are switching. A novel adaptive synchronization algorithm is proposed by using linear parameterizations of unknown nonlinear dynamics of all agents. By stability analysis and parameter convergence analysis of the proposed algorithm, adaptive synchronization can be realized based on neighboring graphs. The stability analysis is based on algebraic graph theory and Lyapunov theory, the PE condition plays a key role in parameter convergence analysis. Example is given to validate the theoretical results.
引用
收藏
页码：1144 / 1149
页数：6
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