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Volume 7 Issue 4
Jun.  2020

IEEE/CAA Journal of Automatica Sinica

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Kritika Bansal and Pankaj Mukhija, "Aperiodic Sampled-Data Control of Distributed Networked Control Systems Under Stochastic Cyber-Attacks," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 1064-1073, July 2020. doi: 10.1109/JAS.2020.1003249
Citation: Kritika Bansal and Pankaj Mukhija, "Aperiodic Sampled-Data Control of Distributed Networked Control Systems Under Stochastic Cyber-Attacks," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 1064-1073, July 2020. doi: 10.1109/JAS.2020.1003249

Aperiodic Sampled-Data Control of Distributed Networked Control Systems Under Stochastic Cyber-Attacks

doi: 10.1109/JAS.2020.1003249
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  • This paper examines the stabilization problem of a distributed networked control system under the effect of cyber-attacks by employing a hybrid aperiodic triggering mechanism. The cyber-attack considered in the paper is a stochastic deception attack at the sensor-controller end. The probability of the occurrence of attack on a subsystem is represented using a random variable. A decentralized hybrid sampled-data strategy is introduced to save energy consumption and reduce the transmission load of the network. In the proposed decentralized strategy, each subsystem can decide independently whether its state should be transmitted to the controller or not. The scheme of the hybrid triggering mechanism for each subsystem composed of two stages: In the first stage, the next sampling instant is computed using a self-triggering strategy. Subsequently, in the second stage, an event-triggering condition is checked at these sampling instants and the control signal is computed only if the event-triggering condition is violated. The self-triggering condition used in the first stage is dependent on the selection of event-triggering condition of the second stage. Finally, a comparison of the proposed approach with other triggering mechanisms existing in the literature is presented in terms of the sampling instants, transmission frequency and performance measures through simulation examples.

     

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    Highlights

    • A hybrid aperiodic sampled-data mechanism for distributed networked control systems under stochastic deception attacks is introduced to alleviate the problem of computational load, energy consumption and communication load. The proposed strategy combines self-triggering and event-triggering strategies.
    • A more general attack scenario on distributed networked control systems is considered whereby stochastic deception attacks of different intensity on different subsystems may occur.
    • The implementation of self-triggering strategy alone for distributed networked control systems under attack is also presented.
    • The analysis of the proposed strategy for an isolated system is presented as a special case. Also, minimum inter-event time is obtained for an isolated system under deception attack.

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