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Link to original content: https://doi.org/10.48550/arXiv.2208.10303
[2208.10303] Data-Driven Control of Distributed Event-Triggered Network Systems
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Electrical Engineering and Systems Science > Systems and Control

arXiv:2208.10303 (eess)
[Submitted on 22 Aug 2022]

Title:Data-Driven Control of Distributed Event-Triggered Network Systems

Authors:Xin Wang, Jian Sun, Gang Wang, Frank Allgöwer, Jie Chen
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Abstract:The present paper deals with data-driven event-triggered control of a class of unknown discrete-time interconnected systems (a.k.a. network systems). To this end, we start by putting forth a novel distributed event-triggering transmission strategy based on periodic sampling, under which a model-based stability criterion for the closed-loop network system is derived, by leveraging a discrete-time looped-functional approach. Marrying the model-based criterion with a data-driven system representation recently developed in the literature, a purely data-driven stability criterion expressed in the form of linear matrix inequalities (LMIs) is established. Meanwhile, the data-driven stability criterion suggests a means for co-designing the event-triggering coefficient matrix and the feedback control gain matrix using only some offline collected state-input data. Finally, numerical results corroborate the efficacy of the proposed distributed data-driven ETS in cutting off data transmissions and the co-design procedure.
Comments: 13 pages, 8 figures
Subjects: Systems and Control (eess.SY)
Cite as: arXiv:2208.10303 [eess.SY]
  (or arXiv:2208.10303v1 [eess.SY] for this version)
  https://doi.org/10.48550/arXiv.2208.10303
Related DOI: https://doi.org/10.1109/JAS.2023.123225

Submission history

From: Xin Wang [view email]
[v1] Mon, 22 Aug 2022 13:33:29 UTC (951 KB)
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