Distributed Adaptive Control for Asymptotically Consensus Tracking of Uncertain Nonlinear Systems With Intermittent Actuator Faults and Directed Communication Topology

被引:39
作者
Long, Jiang [1 ]
Wang, Wei [1 ,2 ]
Huang, Jiangshuai [3 ]
Zhou, Jing [4 ]
Liu, Kexin [1 ,2 ]
机构
[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China
[2] Beihang Univ, Beijing Adv Innovat Ctr Big Data & Brain Comp, Beijing 100191, Peoples R China
[3] Chongqing Univ, Sch Automat, Chongqing 400044, Peoples R China
[4] Univ Agder, Dept Engn Sci, N-4898 Grimstad, Norway
基金
中国国家自然科学基金;
关键词
Actuators; Trajectory; Topology; Nonlinear systems; Adaptation models; Multi-agent systems; Adaptive control; Asymptotically consensus tracking; directed topology; distributed adaptive control; intermittent actuator faults; multiagent systems (MASs); MULTIAGENT SYSTEMS; FEEDBACK; DESIGN; LEADER; SYNCHRONIZATION; NETWORKS; VELOCITY; SEEKING; AGENTS;
D O I
10.1109/TCYB.2019.2940284
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 article, we investigate the output consensus tracking problem for a class of high-order nonlinear systems with unknown parameters, uncertain external disturbances, and intermittent actuator faults. Under the directed topology conditions, a novel distributed adaptive controller is proposed. The common time-varying trajectory is allowed to be totally unknown by part of subsystems. Therefore, the assumption on the linearly parameterized trajectory signal in most literature is no longer needed. To achieve the relaxation, extra distributed parameter estimators are introduced in all subsystems. Besides, to handle the actuator faults occurring at possibly infinite times, a new adaptive compensation technique is adopted. It is shown that with the proposed scheme, all closed-loop signals are globally uniformly bounded and asymptotically output consensus tracking can be achieved.
引用
收藏
页码:4050 / 4061
页数:12
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