Asynchronous Event-Triggered-Based Control for Stochastic Networked Markovian Jump Systems With FDI Attacks

Xiaohang Li, Choon Ki Ahn, Weidong Zhang, Peng Shi

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


In this article, a new asynchronous event-triggered-based output-feedback control method is proposed for a special type of networked Markovian jump systems susceptible to network delays and attacks. A novel controller is designed to make allowances for four cases that are common in practical situations: 1) a network delay; 2) false data injection (FDI) attacks; 3) asynchrony between system modes and controller modes; and 4) an event-triggered scheme. First, to avoid traditional assumptions about system delays, a novel Lyapunov function is proposed, based on which a new stability theory is formulated to guarantee exponential stability. Second, an FDI attack is represented as a stochastic process, which can be dealt with properly by the designed controller. Third, a new delay-based event-triggered scheme is brought into the controller design to reduce the network bandwidth consumption and save the network transmission resources. Then, an asynchronous controller is engineered with the aid of a hidden-Markov model, which can extend the application scope of the proposed method. Note that we put the above four factors into one framework, which implies a co-design of an anti-attack controller and an event-triggered scheme is developed. Finally, an operational amplifier circuit is simulated to verify the feasibility and superiority of the designed controller.

Original languageEnglish
Pages (from-to)5955-5967
Number of pages13
JournalIEEE Transactions on Systems, Man, and Cybernetics: Systems
Issue number9
Publication statusPublished - 2023 Sept 1

Bibliographical note

Funding Information:
This work was supported in part by the National Key R&D Program of China under Grant 2022ZD0119900; in part by the Shanghai Science and Technology Program under Grant 22015810300; in part by the Hainan Province Science and Technology Special Fund under Grant ZDYF2021GXJS041; in part by the National Natural Science Foundation of China under Grant U2141234; in part by the Natural Science Foundation of Shanghai under Grant 21ZR1426100; and in part the National Research Foundation of Korea (NRF) Grant funded by the Korea Government (Ministry of Science and ICT) under Grant NRF- 2020R1A2C1005449.

Publisher Copyright:
© 2013 IEEE.


  • Asynchronous delayed-based output-feedback control
  • false data injection (FDI) attack
  • stochastic networked Markovian jump system (NMJS)
  • uncertain hidden-Markov model

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering


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