Dynamic Hybrid-Triggered-Based Fuzzy Control for Nonlinear Networks Under Multiple Cyberattacks

• Published in: IEEE transactions on fuzzy systems Vol. 30; no. 9; pp. 3940 - 3951
• Main Authors: Lian, Zhi, Shi, Peng, Lim, Cheng Chew
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.09.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Co-design; Computer security; Control methods; Control systems; Disturbances; Feedback control; Fuzzy control; Fuzzy systems; Fuzzy-model-based systems; hybrid cyberattacks; Jamming; Lateral control; Linear matrix inequalities; Model-based systems; Network control; networked control systems (NCSs); Nonlinear control; Nonlinear dynamical systems; Nonlinear systems; Observers; Parameter uncertainty; Power system dynamics; resilient dynamic hybrid-triggered control; Resource utilization; Uncertain systems; Vehicle dynamics
• ISSN: 1063-6706; 1941-0034
• DOI: 10.1109/TFUZZ.2021.3134745

This article addresses the problem of dynamic hybrid-triggered control for nonlinear networked control systems. A novel resilient control method is presented to improve network resource utilization and system performance against cyberattacks for the underlying systems. First, a fuzzy-model-based system is established to describe the nonlinear networked systems subject to multiple cyberattacks, external disturbances, parameter uncertainties, and network-induced delays. Then, a resilient dynamic hybrid-triggered scheme is proposed to conserve the network bandwidth and reduce the effect of cyberattacks. A new codesign method of the observer-based fuzzy controller and the resilient dynamic hybrid-triggered scheme is developed. Sufficient conditions in terms of linear matrix inequalities are given such that the closed-loop system is global exponential stable with an <inline-formula><tex-math notation="LaTeX">H_\infty</tex-math></inline-formula> disturbances attenuation level. Finally, an example of lateral control in autonomous driving is given to verify the effectiveness of the developed control method.