Affiliation:
1. School of Mathematics Sciences University of Electronic Science and Technology of China Sichuan People's Republic of China
2. School of Mathematics and Statistics Guangxi Normal University Guangxi People's Republic of China
3. School of Information Science and Engineering Chengdu University Sichuan People's Republic of China
Abstract
AbstractThe 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.
Funder
National Natural Science Foundation of China
Natural Science Foundation of Guangxi Zhuang Autonomous Region