Sampled-data resilient H∞ control for networked stochastic systems subject to multiple attacks
作者：
Highlights：
• The multiple attacks including DoS attacks and random deception attacks are introduce into sampled data H∞ control of networked stochastic systems. A new switched stochastic time-delay closed-loop system is developed to characterize the impact of multiple attacks.
• Via piecewise Lyapunov-Krasovskii functional analysis theory, the system performances in the absence of attacks and in the presence of attacks are respectively discussed, and sufficient conditions are provided for guaranteeing that the resulting switched stochastic time-delay closed-loop system is mean-square asymptotically stable with an H∞ performance.
• According to resilient H∞ performance conditions, the explicit expression of controller gain is presented by using linear matrix inequality (LMI) technique.
摘要
•The multiple attacks including DoS attacks and random deception attacks are introduce into sampled data H∞ control of networked stochastic systems. A new switched stochastic time-delay closed-loop system is developed to characterize the impact of multiple attacks.•Via piecewise Lyapunov-Krasovskii functional analysis theory, the system performances in the absence of attacks and in the presence of attacks are respectively discussed, and sufficient conditions are provided for guaranteeing that the resulting switched stochastic time-delay closed-loop system is mean-square asymptotically stable with an H∞ performance.•According to resilient H∞ performance conditions, the explicit expression of controller gain is presented by using linear matrix inequality (LMI) technique.
论文关键词：Networked stochastic systems,Denial-of-Service (DoS) attacks,Random deception attacks,Reliable H∞ control
论文评审过程：Received 2 November 2020, Revised 9 February 2021, Accepted 4 April 2021, Available online 15 April 2021, Version of Record 15 April 2021.
论文官网地址：https://doi.org/10.1016/j.amc.2021.126265
