Skip to main navigation Skip to search Skip to main content

Almost sure synchronization of T-S fuzzy semi-Markov asynchronous switched systems under deception attacks

  • Chang Gao
  • , Yuzhi Huang
  • , Yu Xiao*
  • , Leszek Rutkowski*
  • *Corresponding author for this work
  • School of Mathematics, Harbin Institute of Technology
  • Systems Research Institute of the Polish Academy of Sciences
  • Harbin Institute of Technology Weihai
  • AGH University of Krakow
  • University of Social Sciences Lodz

Research output: Contribution to journalArticlepeer-review

Abstract

This paper investigates almost sure synchronization of T-S fuzzy semi-Markov asynchronous switched systems under deception attacks. In the considered system, the mode transitions follow a semi-Markov process with generally distributed sojourn times, while deception attacks occur at stochastic discrete time instants, independent of the system’s switching process. First, the deception attack is modeled as a renewal-driven stochastic impulsive process, where the attack occurrence times follow a renewal process and the attack intensities vary randomly. Then, by constructing a mode-dependent Lyapunov function and utilizing the strong law of large numbers, sufficient conditions for almost sure synchronization are derived. Compared with existing studies, our work models the asynchrony between semi-Markov switching and deception attacks, leading to a more general and realistic framework for analyzing complex networked systems under adversarial conditions. Finally, numerical simulations on an oscillator model are conducted to validate the effectiveness of the proposed method.

Original languageEnglish
Article number108030
JournalJournal of the Franklin Institute
Volume362
Issue number17
DOIs
StatePublished - Nov 2025
Externally publishedYes

Keywords

  • Almost sure synchronization
  • Asynchronous switched
  • Deception attacks
  • Semi-Markov switched systems
  • T-S fuzzy model

Fingerprint

Dive into the research topics of 'Almost sure synchronization of T-S fuzzy semi-Markov asynchronous switched systems under deception attacks'. Together they form a unique fingerprint.

Cite this