Event-Triggered Practical Fixed-Time Fuzzy Containment Control for Stochastic Multiagent Systems

被引：60
|
作者：
Yao, Dajie [1 ,2 ,3 ]
Dou, Chunxia [4 ]
Yue, Dong [1 ,2 ,4 ]
Xie, Xiangpeng [4 ,5 ]
机构：
[1] Nanjing Univ Posts & Telecommun, Coll Automat, Nanjing 210023, Peoples R China
[2] Nanjing Univ Posts & Telecommun, Coll Artificial Intelligence, Nanjing 210023, Peoples R China
[3] Chizhou Univ, Sch Mech & Elect Engn, Chizhou 247000, Peoples R China
[4] Nanjing Univ Posts & Telecommun, Inst Adv Technol, Nanjing 210023, Peoples R China
[5] Chengdu Univ, Sch Informat Sci & Engn, Chengdu 610106, Peoples R China
来源：
IEEE TRANSACTIONS ON FUZZY SYSTEMS | 2022年 / 30卷 / 08期
基金：
中国国家自然科学基金;
关键词：
Telecommunications; Multi-agent systems; Fuzzy logic; Convergence; Topology; Stochastic systems; Stability criteria; Containment control; event-triggered control; practical fixed time; stochastic multi-agent systems; NONLINEAR-SYSTEMS; CONSENSUS;
D O I：
10.1109/TFUZZ.2021.3100930
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 article, an event-triggered practical fixed-time containment control issue for stochastic nonlinear multiagent systems is addressed. The event-triggering mechanism is designed for the controller update which is reduced update frequency. In combination with the backstepping technique and fuzzy logic systems, an adaptive fuzzy containment control strategy is developed for stochastic uncertain multiagent systems. By adopting the protocol, an adaptive containment controller is devised, which can ensure that the containment errors gather to a small range in fixed time. Finally, simulation results for the practical example demonstrate the correctness of the proposed scheme.
引用
收藏
页码：3052 / 3062
页数：11
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