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首页> 外文期刊>Quality Control, Transactions >Hybrid Event-Triggered Filtering for Nonlinear Markov Jump Systems With Stochastic Cyber-Attacks
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Hybrid Event-Triggered Filtering for Nonlinear Markov Jump Systems With Stochastic Cyber-Attacks

机译：具有随机网络攻击的非线性马尔可夫跳转系统的混合事件触发过滤

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摘要

This paper studies the problem of $H_{infty }$ filtering for nonlinear Markov jump systems based on Takagi-Sugeno model. Firstly, we propose a hybrid event-triggered mechanism with an adjustable threshold, which not only helps to save more limited communication resources, but also excludes Zeno behavior while preserving the merits of continuous triggering. Secondly, given the threat of cyber-attacks to network security, a stochastic variable is introduced to describe the considered deception attacks in filter design. Thirdly, a less restrictive Lyapunov-Krasovskii functional (LKF), which is not required to be continuous and positive definite in a triggering interval, is constructed to establish sufficient condition on the exponential mean-square stability for the filtering error system with a weighted $H_{infty }$ performance. Meanwhile, co-design of the desired filter and event-triggered mechanism is achieved. Finally, a tunnel diode circuit system is provided to illustrate the effectiveness and advantage of the obtained results.
机译：本文研究了<内联公式XMLNS：MML =“http://www.w3.org/1998/math/mathml”xmlns：xlink =“http://www.w3.org/1999/xlink”问题> $ h _ { infty} $ 基于Takagi-sugeno模型的非线性Markov跳转系统过滤。首先，我们提出了一种具有可调节阈值的混合事件触发机制，其不仅有助于节省更多有限的通信资源，而且还排除ZENO行为，同时保留连续触发的优点。其次，鉴于网络攻击对网络安全的威胁，引入了一个随机变量来描述滤波器设计中所考虑的欺骗攻击。第三，在触发间隔中不需要是连续的和正定的限制性Lyapunov-krasovskii功能（LKF），构建了对具有加权的滤波误差系统的指数均方稳定性来建立足够的条件。内联XMLNS：MML =“http://www.w3.org/1998/math/mathml”xmlns：xlink =“http://www.w3.org/1999/xlink”> $ h _ { infty} $ 性能。同时，实现了所需滤波器和事件触发机制的共同设计。最后，提供隧道二极管电路系统以说明所获得的结果的有效性和优点。

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