AI Article Synopsis

  • This article focuses on the leaderless consensus control problem in fractional-order multiagent systems, highlighting how events drive both agent communication and controller actions.
  • A filter transforms the original complex high-order system into a simpler first-order system, making controller design easier compared to traditional methods.
  • The proposed control strategy improves performance and ensures zero-error consensus under limited communication resources while avoiding Zeno behavior, with effectiveness demonstrated through two examples.

Article Abstract

This article investigates the event-triggered leaderless consensus control problem for fractional-order multiagent systems (FOMASs), where both the agent-to-agent communication channel and the controller-to-actuator communication channel are based on the events. A filter is introduced to transform the original high-order system into a first-order one, greatly simplifying the complexity of controller design compared to the traditional backstepping. Further, the convergence of filtered output signals is proved to be consistent with that of the outputs of agents themselves. Superior to the traditional event-triggered scheme, two dynamic variables are designed for the triggering conditions of the communication among agents and the controller update, respectively. Via elaborately constructing the dynamic variables, zero-error leaderless consensus can be achieved instead of only ultimately uniformly bounded result. It is proved that the proposed control strategy can guarantee better control performance of leaderless consensus under limited communication resources, and Zeno behavior is excluded. Finally, two examples are provided to verify the effectiveness of our proposed control approach.

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Source
http://dx.doi.org/10.1109/TCYB.2024.3446795DOI Listing

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