A Hybrid Switching Control Approach to Consensus of Multiagent Systems

被引:7
作者
Zhao, Guanglei [1 ,2 ]
Hua, Changchun [1 ,2 ]
机构
[1] Yanshan Univ, Minist Educ, Inst Elect Engn, Qinhuangdao 066004, Hebei, Peoples R China
[2] Yanshan Univ, Minist Educ, Intelligent Control Syst & Intelligent Equipment, Qinhuangdao 066004, Hebei, Peoples R China
基金
中国国家自然科学基金;
关键词
Control systems; Transient analysis; Switches; Stability analysis; Consensus protocol; Multi-agent systems; Analytical models; Consensus; hybrid switching control (HSC); multiagent systems (MASs); transient performance; RESET CONTROL; SYNCHRONIZATION; NETWORKS;
D O I
10.1109/TCYB.2021.3131695
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article develops a novel hybrid switching control (HSC) approach to the consensus of multiagent systems (MASs), and the objective is to further improve the transient consensus performance compared with a reset control approach in recent results. First, a hybrid switched controller is introduced, which consists of two working modes: 1) reset control mode and 2) gain mode. Through appropriate switching mechanism design, the controller output signal can be guaranteed to be continuous, and the input-output of the switched controller always has the same sign. Then, HSC is applied to the consensus of MAS, and a consensus protocol consisting of proportional control part and HSC part is proposed. By introducing binary-value variables, an appropriate closed-loop model is constructed, and the Lyapunov-based consensus analysis results are obtained. Finally, an example is provided to show the superiority of the proposed approach.
引用
收藏
页码:11133 / 11143
页数:11
相关论文
共 27 条
[1]   Fundamental properties of reset control systems [J].
Beker, O ;
Hollot, CV ;
Chait, Y ;
Han, H .
AUTOMATICA, 2004, 40 (06) :905-915
[2]   Adaptive PI Control for Consensus of Multiagent Systems With Relative State Saturation Constraints [J].
Chu, Hongjun ;
Yue, Dong ;
Dou, Chunxia ;
Chu, Lanling .
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 51 (04) :2296-2302
[3]  
Clarke F.H., 1990, Optimization and Nonsmooth Analysis, DOI [10.1137/1.9781611971309, DOI 10.1137/1.9781611971309]
[4]  
Clegg J. C., 1958, Transactions of the American Institute of Electrical Engineers, Part II: Applications and Industry, V77, P41
[5]  
Deenen DA, 2017, P AMER CONTR CONF, P2863, DOI 10.23919/ACC.2017.7963385
[6]   Stability analysis for multi-agent systems using the incidence matrix: Quantized communication and formation control [J].
Dimarogonas, Dimos V. ;
Johansson, Karl H. .
AUTOMATICA, 2010, 46 (04) :695-700
[7]   Distributed Secondary Control for Active Power Sharing and Frequency Regulation in Islanded Microgrids Using an Event-Triggered Communication Mechanism [J].
Ding, Lei ;
Han, Qing-Long ;
Zhang, Xian-Ming .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 15 (07) :3910-3922
[8]   An Overview of Recent Advances in Event-Triggered Consensus of Multiagent Systems [J].
Ding, Lei ;
Han, Qing-Long ;
Ge, Xiaohua ;
Zhang, Xian-Ming .
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 48 (04) :1110-1123
[9]   Distributed Control of Synchronization of a Group of Network Nodes [J].
Gambuzza, Lucia Valentina ;
Frasca, Mattia ;
Latora, Vito .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2019, 64 (01) :365-372
[10]   A Dynamic Event-Triggered Transmission Scheme for Distributed Set-Membership Estimation Over Wireless Sensor Networks [J].
Ge, Xiaohua ;
Han, Qing-Long ;
Wang, Zidong .
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 49 (01) :171-183