Adaptive Event-triggered Control for Networked Switched T-S Fuzzy Systems Subject to False Data Injection Attacks

• Published in: International journal of control, automation, and systems Vol. 18; no. 10; pp. 2580 - 2588
• Main Authors: Qi, Yiwen, Yuan, Shuo, Wang, Xin
• Format: Journal Article
• Language: English
• Published: Bucheon / Seoul Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers 01.10.2020; Springer Nature B.V; 제어·로봇·시스템학회
• Subjects: Adaptive control; Co-design; Control; Control Theory and Applications; Data transmission; Design parameters; Dwell time; Engineering; Event triggered control; Feedback control; Fuzzy systems; Mechatronics; Robotics; 제어계측공학; average dwell time; Adaptive event-triggered control; switched T-S fuzzy systems; false data injection attacks
• ISSN: 1598-6446; 2005-4092
• DOI: 10.1007/s12555-019-0742-9

This paper is concerned with the problem of adaptive event-triggered control for networked switched T-S fuzzy systems under false data injection attacks. In order to reduce unnecessary data transmission, an adaptive event-triggering mechanism is proposed, which can dynamically change triggering conditions based on system performance needs. In particular, due to the consideration of network safety, the system will be subjected to the impacts from both attack delays and network transmission delays. Then, by a delay system transformation approach, a time-delay closed-loop switched T-S fuzzy system is obtained. Moreover, by utilizing average dwell time technique, stability conditions are developed for the closed-loop system with the adaptive event-triggering mechanism and false data injection attacks. In addition, a co-design of adaptive event-triggering parameters and controller gains is given. Finally, simulation results are provided to verify the effectiveness of the designed method.