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Event-based asynchronous and resilient filtering for Markov jump singularly perturbed systems against deception

Yanqian Wang1, Fu Chen2, Guangming Zhuang3

  • 1School of Information and Control Engineering, Qingdao University of Technology, Qingdao, Shandong, 266520, China; Key Laboratory of Advanced Control and Optimization for Chemical Processes, (East China University of Science and Technology), Ministry of Education, Shanghai, 200237, China.

ISA Transactions
|December 9, 2020
PubMed
Summary

This study presents a new dynamic event-triggered filter for Markov jump singularly perturbed systems (MJSPSs) to enhance resilience against deception attacks, reducing data transmission and ensuring system stability.

Keywords:
Cyber–physical systemsDeception-attacksDynamic event-based transmission protocolLinear matrix inequalityMarkov jump singularly perturbed systems

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Area of Science:

  • Control Systems Engineering
  • Networked Systems Security
  • Stochastic Systems Analysis

Background:

  • Markov jump singularly perturbed systems (MJSPSs) are susceptible to stochastic deception attacks.
  • Existing filtering methods may not adequately address asynchronous data and deception vulnerabilities.

Purpose of the Study:

  • To design a dynamic event-based asynchronous dissipative filter for MJSPSs under stochastic deception attacks.
  • To develop a novel transmission protocol minimizing data transmission while ensuring filter performance.
  • To provide criteria for stochastic stability and guaranteed dissipative performance.

Main Methods:

  • A dynamic event-based transmission protocol is introduced.
  • Deception attacks are modeled using Bernoulli distribution.
  • An asynchronous filter is designed using linear matrix inequality (LMI) techniques.
  • Joint design of the transmission protocol and filter is proposed.

Main Results:

  • Efficient criteria for stochastic stability of the filtering error system are derived.
  • Predetermined dissipative performance is achieved.
  • The proposed method effectively reduces data transmission.
  • Numerical and RC circuit simulations validate the approach.

Conclusions:

  • The developed dynamic event-based asynchronous dissipative filter enhances resilience against stochastic deception attacks in MJSPSs.
  • The proposed method offers an effective way to jointly design the event-triggered protocol and the asynchronous filter.
  • The approach demonstrates practical applicability and significant benefits.