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Event-triggering Control of Networked Control Systems Under Random Deception Attacks: An Adaptive Triggering Strategy With Saturation Constraint

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  • Control Theory and Applications
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Abstract

This paper deals with the stochastic stability problem of the closed-loop system under deception attacks based on an adaptive event-triggering scheme (AETS) with saturation constraint. Some novel stability criteria related to networked control systems under deception attacks are devised by taking the fixed threshold which is difficult to adapt to changeable systems into account. An adaptive event-triggering scheme with saturation constraint involving a threshold variable with system states is proposed to reduce network load, and the desired controller gain matrix is obtained by employing linear matrix inequalities (LMIs) technique. Moreover, the Lyapunov-Krasovskii method is used to obtain sufficient conditions for ensuring the stability of the system. In the end, the simulation results are shown to indicate the validity of the proposed method.

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Authors and Affiliations

  1. Business School, Shandong Normal University, Jinan, 250300, China

    Shuang Liu & Chunmei Duan

  2. School of Information Science and Technology, Donghua University, Shanghai, 201620, China

    Wuneng Zhou

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  1. Shuang Liu
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  2. Chunmei Duan
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Correspondence to Chunmei Duan.

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Recommended by Associate Editor Hongyi Li under the direction of Senior Editor PooGyeon Park.

This work was supported by the National Natural Science Foundation of China (61502284).

Shuang Liu is pursuing an M.S. degree in the School of Business, Shandong Normal University. Her research interests include nonlinear control, adaptive control, and deception attacks.

Chunmei Duan received her Ph.D. degree in the School of Computer Science and Technology, Shandong University. From 2019 to 2020, she was a Visiting Associate Professor in School of Engineering, Macquarie University, Australia. Presently, she is an Associate Professor in School of Business, Shandong Normal University. Her main research interests include neural networks, network system control, deep learning, data analysis, and signal processing.

Wuneng Zhou received his Ph.D. degree from Zhejiang University, in 2005. He is currently a Professor with Donghua University, Shanghai. His research interests include regional stability analysis, singular systems robust control, networks control, stochastic systems control, neural networks, and chaotic control and synchronization.

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Liu, S., Duan, C. & Zhou, W. Event-triggering Control of Networked Control Systems Under Random Deception Attacks: An Adaptive Triggering Strategy With Saturation Constraint. Int. J. Control Autom. Syst. 21, 2916–2926 (2023). https://doi.org/10.1007/s12555-022-0502-0

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