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Data-Driven Control of Distributed Event-Triggered Network Systems
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DOI：10.1109/JAS.2023.123225.png)
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摘要
En 中文
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 event-triggered network system (ETS) in cutting off data transmissions and the co-design procedure.
Keyword:
Data-driven control
distributed event-triggered network system (ETS)
linear matrix inequalitie (LMI)
looped-functional
stability
期刊
I
IF:
19.2
论文数:
1.4K
被引数:
1.1W
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