Adaptive Event-Triggered Heterogeneous Consensus of Leader-Following Multi-Agent Systems With Nonlinear Dynamic Topology
Date
2025
Authors
Xiao, Z.
Xiao, Z.
Tao, J.
Liu, C.
Shi, P.
Rudas, I.J.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Journal article
Citation
IEEE Transactions on Automation Science and Engineering, 2025; 22:5781-5791
Statement of Responsibility
Zehui Xiao, Zijing Xiao, Jie Tao, Chang Liu, Peng Shi, and Imre J. Rudas
Conference Name
Abstract
This paper is interested in the event-triggered leader-following consensus problem for discrete-time multi-agent systems subject to nonlinear dynamic topology. Considering that the on-board resources of each agent are generally limited, a novel adaptive event-triggered strategy is presented in this paper through establishing a nonlinear transformation law of consensus errors, which provides an effective way to weaken the impact of small fluctuations on triggering behaviors after the error systems converge. Then, an interval type-2 fuzzy model is introduced to describe the nonlinear dynamic topology where the dynamic characteristics contain both nonlinear time-varying law and uncertain parameter. In view of the discrepancies in adjacency relationships between different agents, the heterogeneous fuzzy-dependent controllers are employed to further decrease the consensus error. Meanwhile, some sufficient conditions are deduced to solve the designed controllers while ensuring that the consensus of multi-agent systems can be achieved with desired H∞ performance. Ultimately, advantages of the presented leader-following control strategy are illustrated by two examples.
School/Discipline
Dissertation Note
Provenance
Description
Date of Publication: 23 July 2024
Access Status
Rights
© 2024 IEEE