Observer-Based Consensus of Nonlinear Multiagent Systems With Relative State Estimate Constraints

被引:16
作者
Chu, Hongjun [1 ]
Chen, Jianliang [2 ]
Yue, Dong [1 ]
Dou, Chunxia [1 ]
机构
[1] Nanjing Univ Posts & Telecommun, Inst Adv Technol, Nanjing 210023, Peoples R China
[2] Wuhan Univ Sci & Technol, Minist Educ, Engn Res Ctr Met Automat & Detecting Technol, Wuhan 430081, Peoples R China
来源
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2020年 / 50卷 / 07期
基金
美国国家科学基金会;
关键词
Protocols; Observers; Multi-agent systems; Hypercubes; Sensors; Laplace equations; Consensus; multiagent systems; observer; protocol design; relative information; saturations; LEADER; NETWORKS; TRACKING; SYNCHRONIZATION; COORDINATION; SATURATION; STABILITY;
D O I
10.1109/TSMC.2018.2818172
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Within the framework of multiagent systems, relative information can be directly acquired by vehicle-mounted sensors and the relative information constraints inevitably occur due to limited sensing capabilities. This paper investigates observer-based consensus of nonlinear multiagent systems subject to relative state estimate constraints. Each agent's state is constructed via a state observer, and the relative state estimate is assumed to be confined into a hypercube. In virtue of the edge Laplacian, the consensus problem of nonlinear multiagent systems under this constraint is converted into the stabilization problem of edge dynamics operating on the constrained set. Observer-based intermittent protocol and adaptive protocol are, respectively, designed for achieving consensus. A convergence analysis is provided with the help of state saturation theory, switched system theory and adaptive theory. Finally, the results on consensus with relate state estimate constraints are applied into the consensus problem while preserving the connectedness, and are validated by a simulation example.
引用
收藏
页码:2456 / 2465
页数:10
相关论文
共 50 条
[41]   Observer-based leader-following consensus of uncertain nonlinear multi-agent systems [J].
Shi, P. ;
Shen, Q. K. .
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2017, 27 (17) :3794-3811
[42]   Distributed Control of Networked Linear Systems via Observer-Based Consensus Algorithms [J].
Ni, Wei ;
Wang, Xiaoli ;
Xiong, Chun .
PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE, 2012, :1174-1178
[43]   Observer-Based Fault Tolerant Consensus of Linear Multi-Agent Systems [J].
Zuo, Zhiqiang ;
Zhang, Jun ;
Wang, Yijing .
2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2015, :3820-3825
[44]   Distributed adaptive iterative learning control for nonlinear multiagent systems with state constraints [J].
Shen, D. ;
Xu, J. -X. .
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2017, 31 (12) :1779-1807
[45]   Observer-Based Consensus of Nonlinear Multi-Agent Systems With Input Delay via Delay-Dependent Event-Triggered Control [J].
Zhang, Wei ;
Gong, Bingyan .
IEEE TRANSACTIONS ON INDUSTRIAL CYBER-PHYSICAL SYSTEMS, 2023, 1 :157-166
[46]   Observer-Based Dynamic Event-Triggered Semiglobal Bipartite Consensus of Linear Multi-Agent Systems With Input Saturation [J].
Xu, Chengjie ;
Xu, Haichuan ;
Guan, Zhi-Hong ;
Ge, Yuan .
IEEE TRANSACTIONS ON CYBERNETICS, 2023, 53 (05) :3139-3152
[47]   Consensus of Fractional-Order Multi-Agent Systems via Observer-Based Boundary Control [J].
Yan, Xu ;
Li, Kun ;
Yang, Chengdong ;
Zhuang, Jiaojiao ;
Cao, Jinde .
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2024, 11 (04) :3370-3382
[48]   Leader-Follower Asymptotic Consensus Control of Multiagent Systems: An Observer-Based Disturbance Reconstruction Approach [J].
Ma, Li ;
Zhu, Fanglai ;
Zhang, Jiancheng ;
Zhao, Xudong .
IEEE TRANSACTIONS ON CYBERNETICS, 2023, 53 (02) :1311-1323
[49]   Stubborn Observer for Leader-Following Consensus of Nonlinear Multiagent Systems With Application to Spacecraft [J].
Wang, Yingjie ;
Yuan, Yuan ;
Yang, Hongjiu .
IEEE TRANSACTIONS ON CYBERNETICS, 2024, 54 (04) :2383-2395
[50]   Intermediate Observer-Based Robust Distributed Fault Estimation for Nonlinear Multiagent Systems With Directed Graphs [J].
Han, Jian ;
Liu, Xiuhua ;
Gao, Xianwen ;
Wei, Xinjiang .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 16 (12) :7426-7436