Fixed-Time Aperiodic Intermittent Control for Quasi-Bipartite Synchronization of Competitive Neural Networks

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 stabilit...

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Published inEntropy (Basel, Switzerland) Vol. 26; no. 3; p. 199
Main Authors Tang, Shimiao, Li, Jiarong, Jiang, Haijun, Wang, Jinling
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 26.02.2024
MDPI
Subjects
Behavior
Competition
competitive neural network
Control systems
Control systems design
Euclidean space
external disturbance
fixed-time intermittent control
Neural networks
Neurons
Numerical analysis
Ordinary differential equations
quasi-bipartite synchronization
Stability analysis
Time synchronization
Variables
competitive neural network
fixed-time intermittent control
quasi-bipartite synchronization
external disturbance
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Summary: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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ISSN:1099-4300
1099-4300
DOI:10.3390/e26030199