A Resilient Adaptive Event-triggered H\(\infty\) Tracking Control of T-S Fuzzy Systems with Markovian Jump Parameters under DOS Attacks

In this paper, the problem of H\(\infty\) output-tracking control for T-S fuzzy markov jump systems(MJSs) with imperfect premise matching is investigated. The conditional probability information between system and controller imperfectly known. Firstly, due to in influence network-induce delay, mode can not be transmitted synchronously, thus, a discrete-time hidden model(HMM) established describe asynchronous phenomenon controller; Secondly, form prospectively practical applications, packet loss two channels taken into consideration, which caused by denial-of-service(DOS) attacks; Thirdly, order improve data transmission efficiency save network bandwidth resources, novel resilient adaptive event-triggered(AET) mechanism proposed, event-based threshold parameter dynamically regulated over processing. Additionally, resorted compensation principle lyapunov-krasovski(L-K) functions methods, some sufficient conditions liner matrix inequality(LMI) are achieved co-guarantee stability tracking property closed-loop system; Finally, examples given verify effectiveness our design mentality.