Leader-follower consensus of multi-agent systems in directed networks with actuator faults

被引：65

作者：

Wu, Yanming ^{[1
]}

Wang, Zhanshan ^{[1
]}

Ding, Sanbo ^{[1
]}

Zhang, Huaguang ^{[1
]}

机构：

[1] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110819, Liaoning, Peoples R China

来源：

NEUROCOMPUTING | 2018年 / 275卷

基金：

中国国家自然科学基金;

关键词：

Multi-agent systems; Fault-tolerant consensus; Actuator fault; Unknown input observer; ADAPTIVE TRACKING CONTROL; EXTERNAL DISTURBANCES; OUTPUT REGULATION; DESIGN; TOPOLOGIES; SYNCHRONIZATION; AGENTS; DELAY;

D O I：

10.1016/j.neucom.2017.09.066

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, the problem of fault-tolerant consensus tracking control is addressed for leader-follower multi-agent systems with actuator faults and exosystem disturbances. An augmented system is constructed containing the state vectors and the concerned faults, and an unknown input observer (UIO) is designed for the augmented system by using the relative information. Then the states and actuator faults can be estimated simultaneously. Meanwhile, a distributed estimator of exosystem is introduced, where the gain matrix is designed by pole placement constraints. Based on this, a distributed consensus algorithm is developed, which can solve the consensus problem, suppress the exosystem disturbances and reject the faults, simultaneously. Simulation results demonstrate the effectiveness of the proposed design methodology. (C) 2017 Elsevier B.V. All rights reserved.

引用

页码：1177 / 1185

页数：9

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