Prescribed Performance-Based Consensus of Nonlinear Multiagent Systems With Unknown Control Directions and Switching Networks

被引:63
作者
Liu, Yan [1 ]
Yang, Guang-Hong [1 ,2 ]
机构
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Peoples R China
[2] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110819, Peoples R China
来源
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2020年 / 50卷 / 02期
基金
中国国家自然科学基金;
关键词
Multi-agent systems; Switches; Observers; Communication networks; Indexes; Nonlinear multiagent systems; prescribed performance; switching networks; unknown control directions; TIME-DELAY SYSTEMS; ADAPTIVE CONSENSUS; OUTPUT REGULATION; TRACKING CONTROL; COOPERATIVE CONTROL; DYNAMICS; AGENTS; SYNCHRONIZATION; COORDINATION; TRANSIENT;
D O I
10.1109/TSMC.2017.2768101
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, the prescribed performance-based consensus problem for nonlinear multiagent systems with unknown control directions and switching networks is investigated. Different from the existing works, the unknown control directions and prescribed performance of consensus errors are considered simultaneously under the switching networks. In this case, the graph Laplacian matrix may be singular and the controllers are interacted. To handle this problem which cannot be dealt with directly using the existing methods, a distributed adaptive observer is introduced so that the controllers are decoupled and the difficulty caused by the unknown control directions can be overcome by adopting the existing Nussbaum functions and the unknown control directions of agents are allowed to be nonidentical. Meanwhile, by utilizing the designed controller, the consensus errors can be guaranteed with the prescribed performance. Finally, a numerical example verifies the validity of the proposed method.
引用
收藏
页码:609 / 616
页数:8
相关论文
共 43 条
[1]   Decentralized Robust Synchronization of Unknown High Order Nonlinear Multi-Agent Systems With Prescribed Transient and Steady State Performance [J].
Bechlioulis, Charalampos P. ;
Rovithakis, George A. .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2017, 62 (01) :123-134
[2]  
Bechlioulis CP, 2014, IEEE DECIS CONTR P, P4509, DOI 10.1109/CDC.2014.7040093
[3]   The Leader-Following Consensus for Multiple Uncertain Euler-Lagrange Systems With an Adaptive Distributed Observer [J].
Cai, He ;
Huang, Jie .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2016, 61 (10) :3152-3157
[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]   Adaptive Consensus of Multi-Agent Systems With Unknown Identical Control Directions Based on A Novel Nussbaum-Type Function [J].
Chen, Weisheng ;
Li, Xiaobo ;
Ren, Wei ;
Wen, Changyun .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2014, 59 (07) :1887-1892
[6]   Consensus of Linear Multiagent Systems With Actuator Saturation and External Disturbances [J].
Deng, Chao ;
Yang, Guang-Hong .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2017, 64 (03) :284-288
[7]   Adaptive consensus output regulation of a class of nonlinear systems with unknown high-frequency gain [J].
Ding, Zhengtao .
AUTOMATICA, 2015, 51 :348-355
[8]   Quantization-Based Adaptive Actor-Critic Tracking Control With Tracking Error Constraints [J].
Fan, Quan-Yong ;
Yang, Guang-Hong ;
Ye, Dan .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 29 (04) :970-980
[9]   Information flow and cooperative control of vehicle formations [J].
Fax, JA ;
Murray, RM .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2004, 49 (09) :1465-1476
[10]   Global disturbance rejection for nonlinear lower triangular systems with iISS inverse dynamics and uncertain exosystem [J].
Guo, Meichen ;
Liu, Lu ;
Feng, Gary .
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2017, 27 (10) :1757-1772