Event-triggered H∞ control for network-based uncertain Markov jump systems under DoS attacks

Authors：Zeng, Pengyu; Deng, Feiqi^*; Liu, Xiaohua; Gao, Xiaobin

Source：JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2021, 358(6): 2895-2914.

DOI：10.1016/j.jfranklin.2021.01.026

This paper investigates the event-triggered H-infinity control problem for network-based Markov jump systems subject to denial-of-service (DoS) attacks. In order to reduce the amount of signal transmission, the event-triggering scheme (ETS) is adopted between sensor and controller. Due to DoS attacks invalidating data over networks, a new switched time-delay Markov jump model with unstable subsystems is developed based on state feedback controller. Then with the help of piecewise Lyapunov-Krasovskii functional method, a set of sufficient conditions incorporating constraints of DoS attacks are provided, which guarantees that the resulting switched time-delay Markov jump system is stochastically stable with a certain H(infinity )performance. Subsequently, we present criterions to obtain the parameters of state feedback gain and ETS. Finally, an example is provided to show the effectiveness of the proposed method.