Truncated prediction-based distributed consensus control of linear multi-agent systems with discontinuous communication and input delay

被引:12
作者
Li, Yu [1 ]
Wang, Chaoli [1 ]
Liang, Dengyu [1 ]
机构
[1] Univ Shanghai Sci & Technol, Dept Control Sci & Engn, Shanghai 200093, Peoples R China
基金
上海市自然科学基金;
关键词
Distributed consensus control; Event-triggered control; Input delay; Directed graph; Uniform quantization; LEADER-FOLLOWING CONSENSUS; EVENT-BASED CONSENSUS; FAILURES; FEEDBACK; SUBJECT; AGENTS;
D O I
10.1016/j.neucom.2020.05.048
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, distributed consensus control protocols are given for linear multi-agent systems with input delay under direct communication graphs. Compared with the multi-agent systems under continuous communication, there are more challenges in the consensus problems of multi-agent systems under discontinuous communication. Furthermore, the consensus of multi-agent systems with control input delay and discontinuous communication are much more similar to the practical engineering situation, which further increases the difficulties of consensus control. Based on these discussions, two consensus problems, including leader following case and leaderless case, are studied in this paper. A prediction of the system's state information over the delay time is approximated by the zero input solution of the agent system model. We also propose a new discontinuous communication mode, which combines event triggered mechanism and a uniform quantization method. Unlike the existing discontinuous communication method, our proposed control protocols ensure that each agent decides when to transport its state information to its neighbors such that continuous communication between any two agents is no longer needed. In addition, through the non-smooth analysis of the closed-loop systems, the uniformly bounded consensus results are guaranteed, and the bound of the consensus error can be adjusted by choosing appropriate parameters. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页码:217 / 230
页数:14
相关论文
共 48 条
[1]  
[Anonymous], 2003, STABILITY TIME DELAY
[2]  
[Anonymous], 1990, OPTIMIZATION NONSMOO
[3]   Reaching a consensus in a dynamically changing environment: A graphical approach [J].
Cao, Ming ;
Morse, A. Stephen ;
Anderson, Brian D. O. .
SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2008, 47 (02) :575-600
[4]   An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination [J].
Cao, Yongcan ;
Yu, Wenwu ;
Ren, Wei ;
Chen, Guanrong .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2013, 9 (01) :427-438
[5]   Discontinuities and hysteresis in quantized average consensus [J].
Ceragioli, Francesca ;
De Persis, Claudio ;
Frasca, Paolo .
AUTOMATICA, 2011, 47 (09) :1916-1928
[6]  
Cortés J, 2008, IEEE CONTR SYST MAG, V28, P36, DOI 10.1109/MCS.2008.919306
[7]  
Ding ZT, 2014, IEEE DECIS CONTR P, P1966, DOI 10.1109/CDC.2014.7039686
[8]   Design and Analysis of Distributed Averaging With Quantized Communication [J].
El Chamie, Mahmoud ;
Liu, Ji ;
Basar, Tamer .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2016, 61 (12) :3870-3884
[9]   Distributed event-triggered control of multi-agent systems with combinational measurements [J].
Fan, Yuan ;
Feng, Gang ;
Wang, Yong ;
Song, Cheng .
AUTOMATICA, 2013, 49 (02) :671-675
[10]   Average consensus on networks with quantized communication [J].
Frasca, Paolo ;
Carli, Ruggero ;
Fagnani, Fabio ;
Zampieri, Sandro .
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2009, 19 (16) :1787-1816