Skip to main navigation Skip to search Skip to main content

Adaptive Event-Triggered Finite-Time H8 Secure Stability Analysis for Discrete-Time Markov Jump Systems Under Hybrid Cyber-Attacks

  • Jinghao Zhang
  • , Hongqian Lu*
  • *Corresponding author for this work
  • Qilu University of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents an adaptive event-triggered finite-time H8 secure stability analysis for discrete-time Markov jump systems (DTMJSs) under hybrid cyber-attacks. The study focuses on addressing the challenges posed by the dynamic nature of DTMJSs, which can switch between different modes due to environmental changes or system faults, and the increasing threat of cyber-attacks that can disrupt or manipulate the system's operation. The hybrid cyber-attacks considered in this paper include both deception attacks, where adversaries inject false data into the system, and denial-of-service (DoS) attacks, which disrupt communication channels.

Original languageEnglish
Title of host publicationProceedings of the 37th Chinese Control and Decision Conference, CCDC 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3925-3930
Number of pages6
ISBN (Electronic)9798331510565
DOIs
StatePublished - 2025
Externally publishedYes
Event37th Chinese Control and Decision Conference, CCDC 2025 - Xiamen, China
Duration: 16 May 202519 May 2025

Publication series

NameProceedings of the 37th Chinese Control and Decision Conference, CCDC 2025

Conference

Conference37th Chinese Control and Decision Conference, CCDC 2025
Country/TerritoryChina
CityXiamen
Period16/05/2519/05/25

Keywords

  • Adaptive event-triggered
  • Cyber-Attacks
  • Finite-time
  • H stability
  • Markov jump systems

Fingerprint

Dive into the research topics of 'Adaptive Event-Triggered Finite-Time H8 Secure Stability Analysis for Discrete-Time Markov Jump Systems Under Hybrid Cyber-Attacks'. Together they form a unique fingerprint.

Cite this