Abstract:Summary
The problem of secure control in cyber‐physical systems is considered in this work. A new modeling framework is first introduced, ie, cyber‐physical systems with attacks/faults changing system dynamics is modeled as a switched system, where the switching among subsystems is triggered by a rule generated by attackers but unknown for defenders. Based on an average dwell‐time approach incorporated by the attack frequency and duration properties, a convergence condition of the Lyapunov function on active i… Show more
“…It should be pointed out that, despite the security control problem for distributed CPSs is now attracting considerable research attention, 10,[25][26][27] several challenges still remain. First, many existing results assume that the state information of CPSs is fully available.…”
This paper considers the security control problem over a finite horizon for distributed cyber-physical systems (CPSs) under replay attacks and switching topologies. A more reasonable attack model is established to describe the randomly occurring replay attacks, where the measurement information is maliciously replaced by previous unnecessary information. Under the Markovian switching communication network, a distributed observer-based H ∞ control protocol is developed to mitigate the influence on system performance resulting from disturbances and replay attacks. Then, by using recursive linear matrix inequality method and stochastic analysis technique, two sufficient conditions are derived to ensure the consensus of the closed-loop system while satisfying the prescribed H ∞ performance index. Gain matrices of observer and controller are derived by resorting to the matrices inequalities that are reality solvable. Finally, simulated examples are presented to compare the control performance under different attack strategies, and explore the relationship between the number of consecutive attacks and the performance index.
“…It should be pointed out that, despite the security control problem for distributed CPSs is now attracting considerable research attention, 10,[25][26][27] several challenges still remain. First, many existing results assume that the state information of CPSs is fully available.…”
This paper considers the security control problem over a finite horizon for distributed cyber-physical systems (CPSs) under replay attacks and switching topologies. A more reasonable attack model is established to describe the randomly occurring replay attacks, where the measurement information is maliciously replaced by previous unnecessary information. Under the Markovian switching communication network, a distributed observer-based H ∞ control protocol is developed to mitigate the influence on system performance resulting from disturbances and replay attacks. Then, by using recursive linear matrix inequality method and stochastic analysis technique, two sufficient conditions are derived to ensure the consensus of the closed-loop system while satisfying the prescribed H ∞ performance index. Gain matrices of observer and controller are derived by resorting to the matrices inequalities that are reality solvable. Finally, simulated examples are presented to compare the control performance under different attack strategies, and explore the relationship between the number of consecutive attacks and the performance index.
“…It formulated a Markov game framework to represent the interactive decision-making process, taking into account the present state and information collected from prior time steps. Besides, the relevant research has acknowledged the existence of other studies 6,7 addressing the topic of CPSs under DoS attacks.…”
The main focus of this article is to explore the finite‐time stabilization of time‐varying cyber‐physical systems (CPS) that are operating over multipath networks and under random denial‐of‐service (DoS) attacks. In contrast to prior studies, we present a set of necessary and sufficient conditions for achieving finite‐time stability in the closed‐loop model of CPS operating over single‐path network. Notably, this equivalent conditions are established based on the analysis of the state transition matrix (STM). Additionally, we utilized auxiliary systems to study more general CPS operating over multipath networks and obtained a sufficient condition based on STM. Finally, we address a sufficient condition based on the Lyapunov function and introduce a linear matrix inequality (LMI)‐based approach that facilitates the computation of nonfragile controllers. The effectiveness of the developed theoretical results is verified through a stock investment model.
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