二部图
异步通信
估计员
计算机科学
共识
李雅普诺夫函数
Lyapunov稳定性
控制理论(社会学)
多智能体系统
跳跃
理论(学习稳定性)
数学
理论计算机科学
人工智能
计算机网络
控制(管理)
图形
统计
物理
非线性系统
量子力学
机器学习
作者
Guanglei Zhao,Changchun Hua
出处
期刊:IEEE transactions on neural networks and learning systems
[Institute of Electrical and Electronics Engineers]
日期:2021-08-31
卷期号:34 (5): 2220-2233
被引量:21
标识
DOI:10.1109/tnnls.2021.3106015
摘要
This article proposes a hybrid systems approach to address the sampled-data leaderless and leader-following bipartite consensus problems of multiagent systems (MAS) with communication delays. First, distributed asynchronous sampled-data bipartite consensus protocols are proposed based on estimators. Then, by introducing appropriate intermediate variables and internal auxiliary variables, a unified hybrid model, consisting of flow dynamics and jump dynamics, is constructed to describe the closed-loop dynamics of both leaderless and leader-following MAS. Based on this model, the leaderless and leader-following bipartite consensus is equivalent to stability of a hybrid system, and Lyapunov-based stability results are then developed under hybrid systems framework. With the proposed method, explicit upper bounds of sampling periods and communication delays can be calculated. Finally, simulation examples are given to show the effectiveness.
科研通智能强力驱动
Strongly Powered by AbleSci AI