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Fixed-Time Aperiodic Intermittent Control for Quasi-Bipartite Synchronization of Competitive Neural Networks.
Tang, Shimiao; Li, Jiarong; Jiang, Haijun; Wang, Jinling.
  • Tang S; College of Mathematics and System Science, Xinjiang University, Urumqi 830017, China.
  • Li J; College of Mathematics and System Science, Xinjiang University, Urumqi 830017, China.
  • Jiang H; School of Mathematics and Statistics, Yili Normal University, Yining 835000, China.
  • Wang J; College of Mathematics and Statistics, Northwest Normal University, Lanzhou 730070, China.
Entropy (Basel) ; 26(3)2024 Feb 26.
Article en En | MEDLINE | ID: mdl-38539711
ABSTRACT
This paper concerns a class of coupled competitive neural networks, subject to disturbance and discontinuous activation functions. To realize the fixed-time quasi-bipartite synchronization, an aperiodic intermittent controller is initially designed. Subsequently, by combining the fixed-time stability theory and nonsmooth analysis, several criteria are established to ensure the bipartite synchronization in fixed time. Moreover, synchronization error bounds and settling time estimates are provided. Finally, numerical simulations are presented to verify the main results.
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