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Scalable δ -Level Coherent State Synchronization of Multi-Agent Systems with Adaptive Protocols and Bounded Disturbances
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  • Zhenwei Liu,
  • Ali Saberi,
  • Anton Stoorvogel
Washington State University

Corresponding Author:[email protected]

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Zhenwei Liu
Northeastern University College of Information Science and Engineering
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Ali Saberi
Washington State University
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Anton Stoorvogel
Universiteit Twente Faculteit Elektrotechniek Wiskunde en Informatica
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In this paper, we study scalable δ–level coherent state synchronization for multi-agent systems (MAS) where the agents are subject to bounded disturbances/noises. We propose a scale-free framework designed solely based on the knowledge of agent models and agnostic to the communication graphs and size of the network. We define the level of coherency for each agent as the norm of the weighted sum of the disagreement dynamics with its neighbors. The objective is to restrict the level of coherency of the network to δ without a-priori information about the disturbance.
21 Aug 2023Submitted to International Journal of Robust and Nonlinear Control
21 Aug 2023Assigned to Editor
21 Aug 2023Submission Checks Completed
21 Aug 2023Review(s) Completed, Editorial Evaluation Pending
14 Sep 2023Reviewer(s) Assigned