Security-Based Asynchronous Event-Triggered H∞ Control of Markov Jump Systems Under Aperiodic DoS Attacks
Huilan Yang, Xin Wang, Nankun Mu, Ju H. Park, Quanxin Zhu · IEEE Transactions on Systems Man and Cybernetics Systems · 2024
This article investigates the issue of asynchronous event-triggered secure control for Markov jump systems (MJSs) under aperiodic denial-of-service (DoS) attacks. A memory-based mode-dependent resilient event-triggering scheme (MMRETS) based on aperiodically sampled data is designed to avoid Zeno behavior and continuous monitor, which has the advantages in mitigating the transmission times and tolerating the DoS attacks. Meanwhile, the asynchronous circumstance between the system and corresponding event-triggered controller in the absence of DoS attacks is characterized via a hidden Markov model (HMM). Subsequently, by using a novel Lyapunov functional and an iterative approach, sufficient conditions are obtained to guarantee the${\mathcal {H}}_{\infty }$performance of the resultant Markov closed-loop system. Finally, a practical truck-trailer model example is provided to illustrate the efficacy and benefits of the proposed methods.