Distributed Fault-Tolerant Control of High-Order Input-Output Multi-Agent Systems

被引:2
作者
Khalili, Mohsen [1 ]
Zhang, Xiaodong [1 ]
Cao, Yongcan [2 ]
Polycarpou, Marios [3 ]
Parisini, Thomas [3 ,4 ,5 ]
机构
[1] Wright State Univ, Dept Elect Engn, Dayton, OH 45435 USA
[2] Univ Texas San Antonio, Dept Elect & Comp Engn, San Antonio, TX 78249 USA
[3] Univ Cyprus, KIOS Res & Innovat Ctr Excellence, Dept Elect & Comp Engn, Nicosia, Cyprus
[4] Imperial Coll London, Dept Elect Elect & Comp Engn, London, England
[5] Univ Trieste, Dept Engn & Architecture, Trieste, Italy
来源
IFAC PAPERSONLINE | 2018年 / 51卷 / 24期
基金
欧盟地平线“2020”;
关键词
Fault-tolerant control; Multi-agent systems; Nonlinear uncertain systems; TRACKING CONTROL; CONSENSUS;
D O I
10.1016/j.ifacol.2018.09.616
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, a distributed adaptive fault-tolerant control (FTC) scheme for a class of nonlinear uncertain input-output multi-agent systems is developed. A decentralized local nonlinear observer is employed for estimating the state variables of each agent, and a distributed local FTC component is designed for each agent in the distributed system by utilizing local output measurements and state estimation information exchanged between neighboring agents. The time-varying leader's command is only communicated to a small portion of follower agents through directed links, and each follower agent exchanges measurement information only with its neighbors through a bidirectional but asymmetric topology. Under certain assumptions, the closed-loop stability and leader-follower consensus properties of the distributed system are rigorously established. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码:453 / 458
页数:6
相关论文
共 16 条
[1]   Finite-time distributed consensus via binary control protocols [J].
Chen, Gang ;
Lewis, Frank L. ;
Xie, Lihua .
AUTOMATICA, 2011, 47 (09) :1962-1968
[2]   Distributed adaptive fault-tolerant containment control for a class of multi-agent systems with non-identical matching non-linear functions [J].
Deng, Chao ;
Yang, Guang-Hong .
IET CONTROL THEORY AND APPLICATIONS, 2016, 10 (03) :273-281
[3]  
Farrell J. A., 2006, Adaptive Approximation Based Control: Unifying Neural, Fuzzy and Traditional Adaptive Approximation Approaches
[4]  
Khalili Mohsen, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC), P6352, DOI 10.1109/CDC.2017.8264617
[5]  
Khalili Mohsen, 2015, IFAC - Papers Online, V48, P66, DOI 10.1016/j.ifacol.2015.09.506
[6]  
Khalili M., 2017, THESIS
[7]  
Khalili M, 2015, IEEE DECIS CONTR P, P4480, DOI 10.1109/CDC.2015.7402919
[8]   Adaptive Fault-Tolerant Synchronization Control of a Class of Complex Dynamical Networks With General Input Distribution Matrices and Actuator Faults [J].
Li, Xiao-Jian ;
Yang, Guang-Hong .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 28 (03) :559-569
[9]   Consensus of Multi-Agent Systems With General Linear and Lipschitz Nonlinear Dynamics Using Distributed Adaptive Protocols [J].
Li, Zhongkui ;
Ren, Wei ;
Liu, Xiangdong ;
Fu, Mengyin .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2013, 58 (07) :1786-1791
[10]   Distributed Tracking Control for Linear Multiagent Systems With a Leader of Bounded Unknown Input [J].
Li, Zhongkui ;
Liu, Xiangdong ;
Ren, Wei ;
Xie, Lihua .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2013, 58 (02) :518-523