Consensus problems for multi-agent systems with nonlinear algorithms

被引：1
|
作者：
Guoying Miao
Qian Ma
Qingqing Liu
机构：
[1] Nanjing University of Information Science and Technology,School of Information and Control
[2] Nanjing University of Science and Technology,School of Automation
来源：
Neural Computing and Applications | 2016年 / 27卷
关键词：
Multi-agent; Consensus; Actuator saturation; Group consensus;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The paper investigates consensus problems for multi-agent systems with nonlinear algorithms. Group consensus algorithms with actuator saturation for the first-order and second-order multi-agent systems are proposed. In addition, the adaptive consensus algorithm with nonlinear dynamic is also given. By applying the graph theory, Lyapunov function, and LaSalle’s invariance principle, consensus conditions for multi-agent systems are derived. Finally, three simulation examples are provided to denote the effectiveness of obtained theoretical results.
引用
收藏
页码：1327 / 1336
页数：9
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