This paper explores the observer-based event-triggered security control problem for linear systems. Initially, a distributed dynamic-memory event-triggered scheme (DMETS) is proposed based on observed system states. T...
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This paper explores the observer-based event-triggered security control problem for linear systems. Initially, a distributed dynamic-memory event-triggered scheme (DMETS) is proposed based on observed system states. This scheme is designed using information from past transmitted data packages, with the flexibility to dynamically adjust the quantity of transmitted data packages. Subsequently, a comprehensive mathematical model of hybrid cyber-attacks is established, and an observer-based distributed feedback control approach is proposed by utilizing the memory states. Furthermore, the asymptotic stability criterion of system is established by using Lyapunov direct method, and the design approaches of controller and observer are provided. Finally, contrast illustrative examples are presented to validate the advantage of DMETS and the effectiveness of the distributed control method Note to Practitioners-This paper is prompted by the challenges of excessive consumption of network resources and the need for enhanced security control in linear systems. The prevailing approach to addressing this issue involves designing appropriate data transmission schemes, specifically ETS. However, a common limitation among these existing ETSs is the inability to efficiently utilize past transmitted data or dynamically adjust the quantity of data utilized in response to changes in system states. To overcome this limitation, we propose a DMETS, which aims to integrate memory characteristics and facilitate dynamic adjustments in memory data quantities.
In this paper, we propose a dynamic-memory event-triggered scheme (DMETS) to defend against a class of constrained scaling attacks for nonlinear leader-following multi-agent systems (MASs). Our scheme takes into accou...
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In this paper, we propose a dynamic-memory event-triggered scheme (DMETS) to defend against a class of constrained scaling attacks for nonlinear leader-following multi-agent systems (MASs). Our scheme takes into account a time-varying memory package, which allows for the extension of the scheme to either an event-triggeredscheme (ETS) or a memory-based event-triggeredscheme (METS) with system signals. We model and analyze the characteristics of the time-constrained scaling attack, and obtain sufficient conditions of security consensus for nonlinear MASs based on the attack duration parameters. Moreover, we derive the dynamic-memory gains and the event- triggered matrices that vary with the attacks scaling factor. Finally, we present simulation results to demonstrate the effectiveness and superiority of our proposed DMETS in controlling MASs under insecure network environments.
The article investigates the problem of asynchronous resilient filter design for cyber-physical systems (CPSs) under multiple cyber-attacks, which are characterized by singular perturbation and stochastic semi-Markov ...
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The article investigates the problem of asynchronous resilient filter design for cyber-physical systems (CPSs) under multiple cyber-attacks, which are characterized by singular perturbation and stochastic semi-Markov jump systems (SPSS-MJSs) with a dynamic-memoryevent-triggered (DMET) scheme. Firstly, we consider the vulnerability of communication network and establish a unified cyber-attack framework to address the occurrences of deception attacks and denial-of-service (DoS) attacks, simultaneously. Then, we introduce the function of the memorizer and propose the DMET scheme, which can effectively save network resources in bandwidth-limited environments. Since the mode information of the resilient filter is often unavailable, we employ a hidden Markov model (HMM) to describe the asynchronous relationship between the modes of the original system and the constructed filter. Furthermore, we judiciously select a stochastic Lyapunov functional concerning the internal dynamic variable, which results in the stochastically admissible criterion for filtering error systems under complex cyber-attacks. The co-design approach is adopted to obtain the gains of the asynchronous resilient filter and the DMET scheme. Finally, a continuous stirred-tank reactor (CSTR) system is offered to validate the effectiveness of the developed method.
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