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Synchronization for Markovian master-slave neural networks: an event-triggered impulsive approach

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Listed:
  • Yumei Zhou
  • Yuru Guo
  • Chang Liu
  • Hui Peng
  • Hongxia Rao

Abstract

This paper investigates synchronisation for Markovian master-slave neural networks (NNs), where the transition probabilities of Markov chain are partially unknown and uncertain. To cope with the communication channel bandwidth constraint, an event-triggered impulsive transmission strategy is adopted, a corresponding impulsive controller is then designed. In this method, information transmission occurs only at some discontinous instants, which are determined by a state-dependent event-triggered condition as well as a predesigned forced impulse interval. Synchronization for Markovian master-slave NNs is guaranteed by a sufficient condition, and the controller gains are designed by using the obtained results. A numerical simulation is given to show the effectiveness of the presented method.

Suggested Citation

  • Yumei Zhou & Yuru Guo & Chang Liu & Hui Peng & Hongxia Rao, 2023. "Synchronization for Markovian master-slave neural networks: an event-triggered impulsive approach," International Journal of Systems Science, Taylor & Francis Journals, vol. 54(12), pages 2551-2565, September.
    • Handle: RePEc:taf:tsysxx:v:54:y:2023:i:12:p:2551-2565
    DOI: 10.1080/00207721.2022.2122904
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