This brief investigates the event-triggered adaptive fixed-time secure control problem for nonlinear cyber-physical systems (CPSs) under false data-injection attacks. By employing adding a power integrator technique, ...
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This brief investigates the event-triggered adaptive fixed-time secure control problem for nonlinear cyber-physical systems (CPSs) under false data-injection attacks. By employing adding a power integrator technique, an adaptive controller along with the triggering mechanism is designed by using the compromised state variables. To compensate the effect of the unknown attacks, a dynamic switching function is introduced into the controller and a corresponding switching mechanism is developed based on the fixed-time stability theorem. Under the adaptive secure control scheme, the dynamic controller parameter can be regulated online to compensate the cyber attacks such that the fixed-time stability can be ensured for the considered nonlinear CPSs and Zeno behavior can be avoided. A simulation example is given to demonstrate the effectiveness of the proposed control strategy.
In this article, a data-driven design scheme of undetectable false data-injection attacks against cyber-physical systems is proposed first, with the aid of the subspace identification technique. Then, the impacts of u...
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In this article, a data-driven design scheme of undetectable false data-injection attacks against cyber-physical systems is proposed first, with the aid of the subspace identification technique. Then, the impacts of undetectable false data-injection attacks are evaluated by solving a constrained optimization problem, with the constraints of undetectability and energy limitation considered. Moreover, the detection of designed data-driven false data-injection attacks is investigated via the coding theory. Finally, the simulations on the model of a flight vehicle are illustrated to verify the effectiveness of the proposed methods.
This article addresses the secure leader-following consensus (SLFC) problem of nonlinear stochastic multi-agent systems, which suffer from randomly occurring uncertainties, stochastic disturbances and deception attack...
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ISBN:
(纸本)9781665486415
This article addresses the secure leader-following consensus (SLFC) problem of nonlinear stochastic multi-agent systems, which suffer from randomly occurring uncertainties, stochastic disturbances and deception attacks. As a typical type of deception attacks, randomly occurring stealthy falsedata-injection (FDI) attacks imply that sensor-to-controller channels are probably injected with false signals by adversaries intending to damage consensus. The malicious attacker's behavior can be measured by the Bernoulli distribution variable. By jointly employing the Lyapunov function, the linear matrix inequality method and the definition of average impulsive interval, several sufficient conditions with less conservative are derived, which means that impulsive control scheme can ensure the achievement of SLFC within a given error bound. Finally, one simple simulation example is reported to verify the reliability and effectiveness of our developed results.
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