Multi-event triggered sliding mode control for a class of complex neural networks

Guangchen Zhang*, Xufei Li, Yuanqing Xia

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

This paper considers the sliding mode control issue for the complex neural network coupled with multi-interconnected neurons. Firstly, the stability of the neural network is realized by designing a multi-event triggered mechanism and a multi-sliding surface. In addition, the corresponding stability criterion is proposed with solvable matrix constraints. Secondly, a multi-sliding mode control law is developed based on a multi-event triggered mechanism, and then sliding mode control synthesis and reachability issues are formulated for the corresponding closed-loop neural network. Based on these discussions, an innovative sliding mode control algorithm is designed to achieve the sliding mode gain and control law. To conclude the paper, an example is provided to illustrate the feasibility and validity for the proposed methods and criteria.

Original languageEnglish
Article number107506
JournalComputers and Electrical Engineering
Volume96
DOIs
Publication statusPublished - Dec 2021

Keywords

  • Multi-event triggered mechanism
  • Multi-sliding mode control
  • Neural network
  • Sliding mode control algorithm

Fingerprint

Dive into the research topics of 'Multi-event triggered sliding mode control for a class of complex neural networks'. Together they form a unique fingerprint.

Cite this