Fuzzy tracking control for nonlinear multi-agent systems with actuator faults and unknown control directions

被引：35
作者：
Liu, Guangliang [1 ]
Zhou, Qi [2 ,3 ]
Zhang, Yanhui [4 ]
Liang, Hongjing [1 ]
机构：
[1] Bohai Univ, Coll Engn, Jinzhou 121013, Peoples R China
[2] Bohai Univ, Coll Informat Sci & Technol, Jinzhou 121013, Liaoning, Peoples R China
[3] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Guangdong, Peoples R China
[4] Bohai Univ, Sch Math & Phys, Jinzhou 121013, Liaoning, Peoples R China
来源：
FUZZY SETS AND SYSTEMS | 2020年 / 385卷
基金：
中国国家自然科学基金;
关键词：
Adaptive tracking control; Multi-agent systems; Time-varying actuator faults; Unknown control directions; STRICT-FEEDBACK SYSTEMS; ADAPTIVE CONSENSUS; STABILIZATION; ALGORITHM;
D O I：
10.1016/j.fss.2019.03.013
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper studies the fuzzy tracking control problem of nonlinear multi-agent systems with time-varying actuator faults and unknown control directions. The term of time-varying actuator faults is estimated via designing adaptive parameter. For the problem of the unknown control directions, the Nussbaum function is introduced to ensure the controller is unaffected on unknown direction. Moreover, based on algebraic graph theory and Lyapunov stability theory, a new distributed controller is designed to guarantee that the tracking error converges to a small neighborhood near the origin. Finally, simulation examples are given to verify the theoretical results. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码：81 / 97
页数：17
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