Event-triggered dynamic output feedback control for networked Markovian jump systems with partly unknown transition rates

Suying Pan, Jin Zhou and Zhiyong Ye

Mathematics and Computers in Simulation (MATCOM), 2021, vol. 181, issue C, 539-561

Abstract: This paper addresses the problem of event-triggered dynamic output feedback control for uncertain Markovian jump systems with partly unknown transition rates. An event-triggered dynamic output feedback control scheme is proposed to stabilize a class of uncertain networked Markovian jump systems with partly unknown transition rates, and a suitable Lyapunov–Krasovskii functional is then introduced to guarantee the asymptotical stability in mean-square sense of the closed-loop controlled system. It is shown that the proposed control scheme is relatively convenient to choose the control gain matrices by the use of the Matlab LMIs Toolbox, and thus it might be convenient to application in practice. Finally, numerical examples are presented to illustrate the effectiveness of the proposed methodology.

Keywords: Event-triggered; Markovian jump system; Dynamic output feedback; Randomly occurring uncertainties (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:181:y:2021:i:c:p:539-561

DOI: 10.1016/j.matcom.2020.10.003

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