Stationary multi-consensus and convergence performance optimization of multi-agent systems via rectangular wave controller

被引：0
|
作者：
Yang C.-X. [1 ]
Zhang J. [1 ]
Han G.-S. [2 ]
Zhu J. [1 ]
机构：
[1] Faculty of Chemical Engineering, Kunming University of Science and Technology, Kunming
[2] Joint Operations College, PLA National Defense University, Shijiazhuang
来源：
Kongzhi yu Juece/Control and Decision | 2020年 / 35卷 / 08期
关键词：
Convergence performance optimization; Multi-agent systems; Multi-consensus; Rectangular wave control;
D O I：
10.13195/j.kzyjc.2018.1492
中图分类号：
学科分类号：
摘要：
Stationary multi-consensus and convergence performance optimization of multi-agent systems via rectangular wave controller are studied. Firstly, a rectangular wave control protocol is designed with adjustable action time, and a necessary and sufficient condition of multi-consensus problem is given based on Hurwitz stability criterion. Then, a parameter optimization algorithm is designed for the faster multi-consensus convergence rate via the dichotomy, and the minimum spectral radius of the multi-agent system is taken as the optimal index in the algorithm. Finally, a numerical simulation is given to show the effectiveness of the rectangular wave control protocol proposed in this paper. These results show that if the suitable parameters of the rectangular wave control protocol are given, the multi-agent systems not only can achieve stationary multi-consensus, but also can improve the convergence rate greatly. © 2020, Editorial Office of Control and Decision. All right reserved.
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页码：2029 / 2036
页数：7
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