执行机构
控制理论(社会学)
非线性系统
计算机科学
控制(管理)
多智能体系统
人工智能
物理
量子力学
作者
Jianhui Wang,Yonghua Li,Yushen Wu,Zhi Liu,Kairui Chen,C. L. Philip Chen
出处
期刊:IEEE Transactions on Fuzzy Systems
[Institute of Electrical and Electronics Engineers]
日期:2024-03-21
卷期号:32 (4): 1965-1977
被引量:16
标识
DOI:10.1109/tfuzz.2023.3342282
摘要
The fixed-time formation control problem for uncertain nonlinear multiagent systems (MASs) with time-varying actuator failures is investigated. Actuator failures would have a huge impact on the system performance, especially when the actuator failures are time-varying, which may even cause system insecurity. In order to cope with time-varying actuator failures, a fixed-time convergence approach is proposed based on adaptive fuzzy control technology. Simultaneously, solving the above problems would aggravate the occupation of communication resources of the system. Therefore, a periodic adaptive event-triggered control scheme is developed, in which the triggering period can be adjusted adaptively. Furthermore, the convergence time of formation errors can be preset by applying the fixed-time control method. The convergence velocity can be accelerated immensely. Eventually, theoretical analysis and simulation illustrate that the proposed method can effectively compensate the time-varying actuator failures, and the MASs can achieve formation within a fixed time by using less communication resources.
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