In this article, we propose a data-driven approach to design dynamicevent-triggered state feedback controllers for discrete-time linear systems. By utilizing a sufficiently rich set of offline state measurements and ...
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ISBN:
(数字)9789887581581
ISBN:
(纸本)9798350366907
In this article, we propose a data-driven approach to design dynamicevent-triggered state feedback controllers for discrete-time linear systems. By utilizing a sufficiently rich set of offline state measurements and inputs, we initially designed a data-driven state feedback controller to ensure the stability of the closed-loop system from input to state. Secondly, static and a type of dynamicevent-triggered mechanisms were considered in system modeling, and the dynamiceventtriggering mechanism effectively reduces the number of triggers. A sufficient condition for the global asymptotic stability of discrete-time linear systems was established using the Lyapunov method. Finally, the control performance was verified through simulation.
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