控制理论(社会学)
计算机科学
事件(粒子物理)
马尔可夫过程
控制器(灌溉)
欺骗
理论(学习稳定性)
隐马尔可夫模型
模式(计算机接口)
马尔可夫链
跳跃
控制(管理)
过程(计算)
数学
人工智能
机器学习
法学
统计
物理
量子力学
政治学
农学
生物
操作系统
作者
Qian Wang,Xiaojun Zhang,Shouming Zhong,Jun Cheng,Kaibo Shi
摘要
Abstract The event‐triggered extended dissipativity control problem for semi‐Markov jump systems (SMJSs) on the basis of multiple types of deception attacks is discussed in this paper. The mode‐ and disturbance‐dependent event‐triggered mechanism (ETM), unlike the traditional ETM, is designed to identify the triggered moments which can prevent network resources from being wasted. Additionally, as the attack evolves into a more intelligent and complex strategy, It is hypothesized that there are multiple deception attacks that can be applied to the communication channels between the sensor and the controller, which are modeled by a more general semi‐Markov process (SMP). As a result, by using stochastic analysis techniques and system‐mode‐dependent and attack‐mode‐dependent Lyapunov‐Krasovskii functional (LKF), a new sufficient condition is established to guarantee the stochastic stability and extended dissipativity of the closed‐loop SMJSs. Four numerical cases are given to illustrate the effectiveness of the developed method.
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