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Sampling-Based Event-Triggered Control for Neutral-Type Complex-Valued Neural Networks with Partly Unknown Markov Jump and Time-Varying Delay

Author

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  • Zhen Wang
  • Lianglin Xiong
  • Haiyang Zhang
  • Yingying Liu
  • Rui Wang

Abstract

This work is devoted to studying the stochastic stabilization of a class of neutral-type complex-valued neural networks (CVNNs) with partly unknown Markov jump. Firstly, in order to reduce the conservation of our stability conditions, two integral inequalities are generalized to the complex-valued domain. Secondly, a state-feedback controller is designed to investigate the stability of the neutral-type CVNNs with H∞ performance, making the stability problem a further extension, and then, the stabilization of the CVNNs with H∞ performance is investigated through a sampling-based event-triggered (SBET) control for the first time that the transmission event is not triggered except when it violates the event-triggered condition. Finally, two examples are given to illustrate the validity and correctness of our obtained theorems.

Suggested Citation

  • Zhen Wang & Lianglin Xiong & Haiyang Zhang & Yingying Liu & Rui Wang, 2021. "Sampling-Based Event-Triggered Control for Neutral-Type Complex-Valued Neural Networks with Partly Unknown Markov Jump and Time-Varying Delay," Complexity, Hindawi, vol. 2021, pages 1-21, May.
    • Handle: RePEc:hin:complx:5563888
    DOI: 10.1155/2021/5563888
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