计算机科学
加权
李雅普诺夫函数
多智能体系统
粒子群优化
网络拓扑
控制理论(社会学)
星团(航天器)
数学优化
共识
理论(学习稳定性)
基质(化学分析)
事件(粒子物理)
拓扑(电路)
控制(管理)
数学
人工智能
医学
物理
材料科学
量子力学
非线性系统
机器学习
组合数学
复合材料
放射科
程序设计语言
操作系统
作者
Yanping Yang,Wangli He,Shenrong Li
出处
期刊:IEEE transactions on cybernetics
[Institute of Electrical and Electronics Engineers]
日期:2022-01-01
卷期号:: 1-14
被引量:1
标识
DOI:10.1109/tcyb.2022.3199097
摘要
This article is concerned with cluster consensus control of multiagent systems (MASs) with the fixed/switching topology under a dynamic event-trigger (DET) mechanism. A refined sampled-data-based DET scheme is proposed by introducing two dynamically adjusting threshold parameters to distinguish the different transmission requirements for neighboring agents intra and outer cluster. Faced with the difficulties of acquiring full state information among spatially distributed agents, output feedback is employed to construct cooperative control protocols. Both fixed and switching topologies are considered to execute the designed DET-based cooperative cluster consensus control protocols. By constructing appropriate Lyapunov–Krasovskii functionals (LKFs), some sufficient criteria in terms of matrix inequalities for the cluster consensus of MASs are derived, which can ensure that the error system with the proposed DET-based control strategy is asymptotically stable. Facing the nonconvex issue induced by output feedback, a particle swarm optimization (PSO)-based control design algorithm is novelly developed to calculate the control gains and event-triggering parameters jointly based on the derived stability criteria. The elements of the matrix variables are valued stochastically in certain ranges and the fitness function is designed as the accumulation of the weighting value of each matrix inequality. Finally, an application of multiple satellites formation flying is applied to numerically illustrate the effectiveness of the cluster consensus control strategy with the designed DET mechanism.
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