Adaptive event-triggered mechanism for networked control systems under deception attacks with uncertain occurring probability

ABSTRACT

This paper addresses the problem of adaptive event-triggered control of nonlinear networked control systems under deception attacks. An adaptive event-triggered scheme has been utilised to reduce data transmissions via the communication channel. To model the occurrence of the random deception cyber-attacks on the transmitted data, a Bernoulli random variable is employed. Since the probability of occurrence of this random variable is not completely known in practice, this value is considered with uncertainty while almost all the existing methods consider it to be exactly known. By using the Lyapunov–Krasovskii method, sufficient conditions for the stability of the closed-loop system are derived and presented in terms of linear matrix inequalities. In the end, two illustrative examples are provided to demonstrate the effectiveness of the proposed method.

Keywords:

• Adaptive control
• cyber-attack
• event-triggered control
• networked control system

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The work was partially supported by the General Research Fund [17201219].

Notes on contributors

Ali Kazemy

Ali Kazemy received the M.S. and Ph.D. degrees, both in Electrical Engineering from Iran University of Science and Technology (IUST), Tehran, Iran, in 2007 and 2012, respectively. He joined Tafresh University in 2015, where he is currently Assistant Professor of Electrical Engineering. In 2019, He was a visiting professor and a Research Associate in Department of Mechanical Engineering, University of Hong Kong, Hong Kong. His current research interests include time-delayed systems, security control, complex dynamical networks, multi-agent systems, and active vibration control of structures.

James Lam

James Lam received a BSc (1st Hons.) degree in Mechanical Engineering from the University of Manchester, and was awarded the Ashbury Scholarship, the A.H. Gibson Prize, and the H. Wright Baker Prize for his academic performance. He obtained the MPhil and PhD degrees from the University of Cambridge. He is a Croucher Scholar, Croucher Fellow, and Distinguished Visiting Fellow of the Royal Academy of Engineering. Prior to joining the University of Hong Kong in 1993 where he is now Chair Professor of Control Engineering, he was lecturer at the City University of Hong Kong and the University of Melbourne. Professor Lam is a Chartered Mathematician, Chartered Scientist, Chartered Engineer, Fellow of Institute of Electrical and Electronic Engineers, Fellow of Institution of Engineering and Technology, Fellow of Institute of Mathematics and Its Applications, and Fellow of Institution of Mechanical Engineers. He is Editor-in-Chief of IET Control Theory and Applications and Journal of The Franklin Institute, Subject Editor of Journal of Sound and Vibration, Editor of Asian Journal of Control, Senior Editor of Cogent Engineering, Associate Editor of Automatica, International Journal of Systems Science, Multidimensional Systems and Signal Processing, and Proc. IMechE Part I: Journal of Systems and Control Engineering. He is a member of the IFAC Technical Committee on Networked Systems, and Engineering Panel (Joint Research Schemes), Research Grant Council, HKSAR. His research interests include model reduction, robust synthesis, delay, singular systems, stochastic systems, multidimensional systems, positive systems, networked control systems and vibration control. He is a Highly Cited Researcher in Engineering (Thomson Reuters, 2014, 2015, 2016) and Computer Science (Thomson Reuters, 2015).

Zhao Chang

Zhao Chang received her B.E. degree in Detection Guidance and Control Technology from Harbin Institute of Technology, Harbin, China in July, 2015 and the Master degree in Control Science and Engineering from Harbin Institute of Technology, Harbin, China in July, 2017. She is currently working toward her Ph.D. degree in Mechanical Engineering at the University of Hong Kong. Her research interests include two dimensional systems, cyber physical systems, state estimation, and robust control.