Event-triggered output-based control of T-S fuzzy systems under quantisation, actuator saturation and cyber attacks

Abstract

This paper studies output-based event-triggered security control of networked T-S fuzzy systems under signal quantisation, actuator saturation and deception attacks governed by a Bernoulli distribution. Firstly, using periodically sampled output of a T-S fuzzy system, a discrete event-triggered mechanism (ETM) is introduced to save network bandwidth, which excludes Zeno behaviour absolutely. Secondly, a closed-loop system model is built, which integrates parameters of the T-S fuzzy plant, the ETM, quantiser, actuator saturation, stochastic attacks, network-induced delays and fuzzy dynamic output feedback controller in a unified framework. Thirdly, sufficient conditions for asymptotic stability of the T-S fuzzy system are obtained, and further a fuzzy output-based security controller is designed. Finally, examples confirm effectiveness of the proposed methods.

Keywords:

• Networked control systems
• T-S fuzzy system
• event-triggered mechanism
• deception attacks
• dynamic output feedback control

Disclosure statement

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

Data availability statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Additional information

Funding

This work was supported by National Natural Science Foundation of China [grant number 61703146]; Scientific and Technological Project of Henan Province [grant numbers 202102110126]; Backbone Teacher of Henan Province [grant number 2020GGJS048]; Scientific and Research Project of Education Department of Henan Province [grant number 19A413009]; Scientific and Technological Innovation Project of Henan Agricultural University [grant numbers KJCX2016A09,KJCX2015A17].

Notes on contributors

Lisai Gao

Lisai Gao received the M.S. degree in Control Theory and Control Engineering from Zhengzhou University in 2011. She is currently a PhD candidate in Control Science and Engineering at Shanghai University. Her research interests include event-triggered control and secure control of networked control systems.

Fuqiang Li

Fuqiang Li received the Ph.D. degree in Control Theory and Control Engineering from Shanghai University in 2016. He is now an associate professor in Henan Agricultural University. He is also a postdoctoral researcher in Shanghai University. His research interest is event-triggered resilient control of networked control systems.

Jingqi Fu

Jingqi Fu received the Ph.D. degree from Nanjing University of Science and Technology in 1995. He is currently a professor in School of Mechatronics Engineering and Automation, Shanghai University. His research interests include wireless sensor and actuator networks and networked control systems.