Event-based command-filtered consensus control for uncertain nondeterministic multi-agent systems: a FAT-based learning control scheme Event-based command-filtered consensus control for uncertain nondeterministic multi-agent

This research addresses the challenge of achieving consensus among a group of unknown agents with nonlinear dynamics, subject to stochastic noises and external influences. To enhance efficiency and reduce communication overhead, an event-based control mechanism is employed, which limits the frequenc...

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Bibliographic Details
Published inInternational journal of dynamics and control Vol. 13; no. 7
Main Authors Feizizadeh, Amir, Alfi, Alireza, Keighobadi, Javad, Cao, Jinde
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 14.07.2025
Subjects
Complexity
Control
Control and Systems Theory
Dynamical Systems
Engineering
Vibration
Multi-agent
Command-filtered
Event trigger
FAT learning
Stochastic behavior
Consensus
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Summary:This research addresses the challenge of achieving consensus among a group of unknown agents with nonlinear dynamics, subject to stochastic noises and external influences. To enhance efficiency and reduce communication overhead, an event-based control mechanism is employed, which limits the frequency of controller updates. To handle the unknown nonlinearities, the function approximation technique (FAT), as an universal approximator, is utilized to approximate the agent dynamics. Furthermore, the design complexity is mitigated through a command filtering unit. The proposed distributed control strategy ensures that all signals in the system remain bounded, while simultaneously realizing the system performance. The effectiveness of the introduced approach is validated via comparative simulation scenarios.
ISSN:2195-268X
2195-2698
DOI:10.1007/s40435-025-01773-9