Dynamic event-triggered networked predictive control for discrete-time NCSs under deception attacks

Zhiying Wu, Zhe Wang, Yan Wang*, Junlin Xiong, Min Xie

*Corresponding author for this work

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    12 Citations (Scopus)
    48 Downloads (CityUHK Scholars)

    Abstract

    This paper investigates the dynamic event-triggered predictive control problem for discrete-time networked control systems under deception attacks. A new dynamic event-triggered scheme is proposed for discrete-time networked predictive control systems to reduce the data transmission. The feature of the dynamic event-triggered scheme is that the triggering threshold is adjusted dynamically. The Luenberger observer is provided to estimate the output measurements. The networked predictive control method is used to compensate for the time delay. Next, by using the piecewise linear model and the augmented model methods, sufficient conditions are established to guarantee the mean square asymptotic stability of the closed-loop systems, respectively. Finally, the effectiveness of the proposed approach is validated via a buck DC-DC converter system.
    Original languageEnglish
    JournalInternational Journal of Robust and Nonlinear Control
    Online published12 Dec 2022
    DOIs
    Publication statusOnline published - 12 Dec 2022

    Funding

    The work described in this paper was supported by the InnoHK program, National Natural Science Foundation of China (71971181, 72032005, and 61773357), and also by Research Grant Council of Hong Kong, Hong Kong ITC/CIMDA and City University of Hong Kong (under grants Nos. 11203519, 11200621 and 9360163)

    Research Keywords

    • deception attacks
    • dynamic event-triggered scheme
    • networked predictive control
    • time delay
    • LARGE-SCALE SYSTEMS
    • COMMUNICATION DELAYS
    • FAULT-DETECTION
    • LINEAR-SYSTEMS
    • STABILITY

    Publisher's Copyright Statement

    • COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: This is the peer reviewed version of the following article: Wu, Z., Wang, Z., Wang, Y., Xiong, J., & Xie, M. (2022). Dynamic event-triggered networked predictive control for discrete-time NCSs under deception attacks. International Journal of Robust and Nonlinear Control, 33(4), 2682-2702
    • which has been published in final form at https://doi.org/10.1002/rnc.6535. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.

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