By Markov jump systems (MJSs) modeling, this article investigates event-triggered asynchronous fault detection (FD) for quarter-car suspension system (QCSS) via zonotopic residual evaluation (RE). To save communication resources, a stochastic dynamic event-triggered scheme (DETS) is developed to transmit necessary sampled signals while considering deception attacks (DAs) during signal transmission. By means of the hidden Markov model (HMM) with partially accessible mode information, the asynchronization phenomenon between the original system and the FD filter (FDF) as well as the event generator is fully characterized. In such a framework, a mixed $l_{1}/H_{\infty }$ asynchronous FDF design criterion is derived to guarantee the resultant residual system is sensitive to system fault while being robust to amplitude-bounded exogenous disturbances and measurement noise. Compared with existing results, the proposed approach avoids the mode synchronization limitation and the requirement of ideally known probability information in the transformed probability matrix and conditional probability matrix, and thus can be better applied to practical engineering while covering some previous works as special cases. Moreover, for the first time, a novel zonotope-based dynamic threshold evaluation approach is developed for FD in MJSs instead of the traditional constant threshold scheme for RE. Such an algorithm is designed to effectively avoid inappropriate human empirical threshold selection, which can both shorten the FD time and avoid false alarms hence ensuring satisfactory FD performance. Finally, a quarter-car suspension system is utilized to demonstrate the effectiveness of the proposed design strategy.

中文翻译：

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基于 Zonotope 的基于动态事件触发通信的受欺骗攻击的马尔可夫跳跃系统异步故障检测

通过马尔可夫跳跃系统（MJSs）建模，本文通过动物区划残差评估（RE）研究了四分之一汽车悬架系统（QCSS）的事件触发异步故障检测（FD）。为了节省通信资源，开发了一种随机动态事件触发方案（DETS）来传输必要的采样信号，同时在信号传输过程中考虑欺骗攻击（DA）。通过具有部分可访问模式信息的隐马尔可夫模型（HMM），充分表征了原始系统与FD滤波器（FDF）以及事件发生器之间的异步现象。在这样的框架下，混合$l_{1}/H_{\infty }$导出了异步FDF设计准则，以保证生成的剩余系统对系统故障敏感，同时对幅度有界的外生干扰和测量噪声具有鲁棒性。与现有结果相比，该方法避免了模式同步的限制以及转换后的概率矩阵和条件概率矩阵中对理想已知概率信息的要求，因此可以更好地应用于实际工程，同时将一些以前的工作作为特殊情况进行覆盖。此外，首次为 MJS 中的 FD 开发了一种新的基于 zonotope 的动态阈值评估方法，而不是传统的 RE 恒定阈值方案。这样的算法旨在有效避免不适当的人为经验阈值选择，这既可以缩短FD时间，又可以避免误报，从而确保令人满意的FD性能。最后，使用四分之一汽车悬架系统来证明所提出的设计策略的有效性。