Regular Paper

International Journal of Control, Automation and Systems 2020; 18(9): 2220-2228

Published online February 28, 2020

https://doi.org/10.1007/s12555-019-0580-9

© The International Journal of Control, Automation, and Systems

Event-triggered Output Feedback Resilient Control for NCSs under Deception Attacks

Lisai Gao, Fuqiang Li*, and Jingqi Fu

Henan Agricultural University

Abstract

This paper studies event-triggered output feedback resilient control for networked control systems (NCSs) under stochastic deception attacks following a Bernoulli distribution. Unlike continuous event-triggered mechanism (ETM) requiring dedicated hardware and complex Zeno-avoidance computation, an output-based discrete ETM is firstly introduced, which overcomes limits of continuous ETM and relaxes state-available constraint. Secondly, a novel time-delay system model is established, which makes it possible to study effects of the ETM, stochastic attacks and network-induced delays in a unified framework. Thirdly, less-conservative asymptotic stability criteria with desired H∞ index are obtained, which derive quantitative relationships among the ETM, stochastic attacks, network delays, plant and resilient controller. Further, sufficient conditions to co-deign the ETM and resilient controller are presented. Finally, examples confirm effectiveness of the proposed method.

Keywords Deception attacks, dynamic output feedback control, event-triggered control, networked control system, resilient control.

Article

Regular Paper

International Journal of Control, Automation and Systems 2020; 18(9): 2220-2228

Published online September 1, 2020 https://doi.org/10.1007/s12555-019-0580-9

Copyright © The International Journal of Control, Automation, and Systems.

Event-triggered Output Feedback Resilient Control for NCSs under Deception Attacks

Lisai Gao, Fuqiang Li*, and Jingqi Fu

Henan Agricultural University

Abstract

This paper studies event-triggered output feedback resilient control for networked control systems (NCSs) under stochastic deception attacks following a Bernoulli distribution. Unlike continuous event-triggered mechanism (ETM) requiring dedicated hardware and complex Zeno-avoidance computation, an output-based discrete ETM is firstly introduced, which overcomes limits of continuous ETM and relaxes state-available constraint. Secondly, a novel time-delay system model is established, which makes it possible to study effects of the ETM, stochastic attacks and network-induced delays in a unified framework. Thirdly, less-conservative asymptotic stability criteria with desired H∞ index are obtained, which derive quantitative relationships among the ETM, stochastic attacks, network delays, plant and resilient controller. Further, sufficient conditions to co-deign the ETM and resilient controller are presented. Finally, examples confirm effectiveness of the proposed method.

Keywords: Deception attacks, dynamic output feedback control, event-triggered control, networked control system, resilient control.

IJCAS
May 2024

Vol. 22, No. 5, pp. 1461~1759

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