Security Fuzzy Control of Nonlinear Semi-Markov Switching Systems With Event-Based Mechanism and Hybrid Cyber-Attacks

This article is concerned with the security H-8 fuzzy control problem for Takagi-Sugeno (T-S) fuzzy semi-Markov switching systems (SMSSs) with event-based strategy and hybrid cyber-attacks. To efficiently use network resources and avoid unnecessary signal transmission, a new mode-dependent dynamic event-triggered mechanism (ETM), whose threshold parameter changes with varying states and modes is developed for each sub-system of fuzzy SMSSs. A more practical network environment subject to deception and denial-of-service (DoS) attacks is con-sidered, and two Bernoulli distributed variables are adopted to characterize the randomly occurring hybrid attacks in a unified framework. By the mode-dependent Lyapunov function, suffi-cient conditions are attained to assure that the closed-loop system is stochastically stable with an H-8 attenuation performance. Finally, the validity and superiority of the proposed theoretical approach is demonstrated via its application to the Duffing-Van der Pols oscillator.

Automated summary

This article addresses the security H-8 fuzzy control problem for Takagi-Sugeno fuzzy semi-Markov switching systems with event-based strategy and hybrid cyber-attacks. A mode-dependent dynamic event-triggered mechanism is developed for each sub-system to efficiently use network resources and avoid unnecessary signal transmission. The article also considers a practical network environment subject to deception and denial-of-service attacks, and uses Bernoulli distributed variables to characterize the randomly occurring hybrid attacks. The proposed theoretical approach is demonstrated to be valid and superior through its application to the Duffing-Van der Pols oscillator.