Resilient Annular Finite-Time Bounded and Adaptive Event-Triggered Control for Networked Switched Systems with Deception Attacks

M. Sathishkumar, Yen Chen Liu

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)

Abstract

This paper investigates the annular finite-time bounded and adaptive event-triggered control problems of networked switched systems (SSs) with deception attacks. Initially, we consider an adaptive event-triggered strategy (AETS) for switched systems that, compared to traditional strategies, can reduce inessential transmission in a communication network. Concurrently, an event-triggered threshold is obtained from the proposed adaptive law so that the control system can dynamically maintain satisfactory system performance. Subsequently, we consider the security issue of the networked switched systems subjected to deception attacks occurring in a random way where the bounded malicious signals are introduced by adversaries. On the strength of the delay-dependent Lyapunov functional candidate and Wirtinger-based integral inequality, several criteria, which calculated in the form of linear matrix inequalities (LMIs), are obtained to ensure the annular finite-time bounded for switched systems with prescribed mixed H_\infty and passivity. Ultimately, the feasibility of the proposed method is verified by simulations.

Original languageEnglish
Article number9465157
Pages (from-to)92288-92299
Number of pages12
JournalIEEE Access
Volume9
DOIs
Publication statusPublished - 2021

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • General Materials Science
  • General Engineering

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