Adaptive fully distributed consensus for a class of heterogeneous nonlinear multi-agent systems

被引：33
|
作者：
Feng, Xiaoqin [1 ]
Yang, Yucui [1 ]
Wei, Dongxu [1 ]
机构：
[1] Huaiyin Normal Univ, Sch Phys & Elect Elect Engn, Huaian 223300, Peoples R China
来源：
NEUROCOMPUTING | 2021年 / 428卷
关键词：
Heterogeneous multi-agent systems; Adaptive control; Distributed consensus; Nonlinear systems; LEADER-FOLLOWING CONSENSUS; FEEDBACK; TRACKING;
D O I：
10.1016/j.neucom.2020.11.043
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, the consensus problem for a class of nonlinear multi-agent systems is investigated, where each agent is described by a firstor second-order differential equation. Due to the presence of unknown control gain, unknown parameter vector in the dynamical systems of agents, and the unknown interaction topology information, an adaptive consensus protocol is proposed. It is proven that the asymptotic consensus of the nonlinear multi-agent systems can be achieved without using any global information via the given protocol. Finally, a demonstrative example is presented in the simulation studies to illustrative the effectiveness of the given protocol. (c) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页码：12 / 18
页数：7
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