返回
Quantized consensus control for second-order multi-agent systems with nonlinear dynamics
DOI:10.1016/j.neucom.2015.10.090.png)
摘要
En 中文
This paper discusses a leader-following consensus problem of second-order multi-agent systems with nonlinear dynamics and directed communication topology based on quantized information. The communication signals between the neighbor agents are quantized and sent over communication channels. A new consensus controller based on the quantized information is proposed. Based on Lyapunov theory and sliding mode control strategy, it is proved that the proposed distributed controller can drive the states of multi-agent systems to reach the leader-following consensus. Two simulation examples are given to illustrate the effectiveness of the proposed approach. (C) 2015 Elsevier B.V. All rights reserved.
Keyword:
Leader-following consensus
Quantized consensus
Second-order multi-agent systems
Nonlinear dynamics
Sliding mode control
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.5
论文数:
2.5W
被引数:
6.5W
机构
引用论文
Distributed cooperative tracking of uncertain nonlinear multi-agent systems with fast learning
NEUROCOMPUTING
IF6.5
Consensus and cooperation in networked multi-agent systems网络化多智能体系统的共识与合作
PROCEEDINGS OF THE IEEE
IF25.9
Fuzzy Neural Network-Based Adaptive Control for a Class of Uncertain Nonlinear Stochastic Systems一类不确定非线性随机系统的模糊神经网络自适应控制

