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

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. (C) 2020 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved.

Automated summary

This paper presents an event-triggered dynamic output feedback control scheme for uncertain Markovian jump systems with partly unknown transition rates. By introducing a suitable functional, the stability of the system is guaranteed, and the control scheme is relatively convenient for practical applications.