Distributed Adaptive Consensus Control of One-Sided Lipschitz Nonlinear Multi-agent Systems with Directed Graphs

被引:3
作者
Chen, Bao [1 ]
Wang, ZiYi [2 ]
Chen, Hu [3 ]
Bai, Hua [4 ]
机构
[1] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110004, Peoples R China
[2] Anhui Univ Technol, Coll Elect & Informat Engn, Maanshan 243002, Peoples R China
[3] Anhui Normal Univ, Coll Comp & Format, Wuhu 241002, Peoples R China
[4] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110004, Peoples R China
来源
2022 34TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC | 2022年
关键词
Adaptive consensus protocol; one-sided Lipchitz nonlinear MASs; directed graphs; AGENTS; TRACKING;
D O I
10.1109/CCDC55256.2022.10033921
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 paper investigates a distributed adaptive consensus protocol design problem about one-sided Lipchitz nonlinear multi-agent systems(MASs) with directed graphs. From the perspective of time varying consensus control, a novel one-sided Lipchitz nonlinear control strategy is proposed. The distributed adaptive consensus protocol, only based on the agent dynamics and its neighbors state information, achieves nonlinear leader-less MASs consensus under strongly connected directed graphs. The problem of eliminating the nonlinear term in the MASs is solved by utilizing quadratic boundedness property and Lipschitz condition. The stability, transforming the consensus problem of nonlinear MASs into a stability problem, is proved by designing a special Lyapunov function. The effectiveness of the proposed control protocol is verified by two simulation examples.
引用
收藏
页码:4110 / 4115
页数:6
相关论文
共 20 条
[1]   Leader-Follower Bipartite Consensus of Linear Multiagent Systems Over a Signed Directed Graph [J].
Bhowmick, Sourav ;
Panja, Surajit .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2019, 66 (08) :1436-1440
[2]   Distributed Robust Hierarchical Power Sharing Control of Grid-Connected Spatially Concentrated AC Microgrid [J].
Cai, He ;
Hu, Guoqiang .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2019, 27 (03) :1012-1022
[3]  
Cao Y, 2017, IEEE T CYBERNETICS, V47, P2212, DOI 10.1109/TCYB.2016.2573138
[4]   Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks [J].
Chen, C. L. Philip ;
Wen, Guo-Xing ;
Liu, Yan-Jun ;
Wang, Fei-Yue .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 25 (06) :1217-1226
[5]   Observer-based consensus of second-order multi-agent system with fixed and stochastically switching topology via sampled data [J].
Chen, Weisheng ;
Li, Xiaobo .
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2014, 24 (03) :567-584
[6]   Observer-based consensus tracking of multi-agent systems with one-sided Lipschitz nonlinearity [J].
Chu, Hongjun ;
Liu, Xiaocheng ;
Zhang, Weidong ;
Cai, Yunze .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2016, 353 (07) :1594-1614
[7]   Information flow and cooperative control of vehicle formations [J].
Fax, JA ;
Murray, RM .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2004, 49 (09) :1465-1476
[8]   Coordination of groups of mobile autonomous agents using nearest neighbor rules [J].
Jadbabaie, A ;
Lin, J ;
Morse, AS .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2003, 48 (06) :988-1001
[9]   Distributed adaptive output feedback containment control for time-delay nonlinear multiagent systems [J].
Li, Yafeng ;
Park, Ju H. ;
Hua, Changchun ;
Liu, Guopin .
AUTOMATICA, 2021, 127
[10]   Designing Fully Distributed Consensus Protocols for Linear Multi-Agent Systems With Directed Graphs [J].
Li, Zhongkui ;
Wen, Guanghui ;
Duan, Zhisheng ;
Ren, Wei .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2015, 60 (04) :1152-1157