Some Further Results on Fixed-Time Synchronization of Neural Networks with Stochastic Perturbations ()
ABSTRACT
In this paper, fixed-time (FXT) synchronization issue of a type of neural networks (NNs) with stochastic perturbations is considered. First, we obtained some novel sufficient criteria to guarantee the FXT synchronization of considered networks via introducing two types of controllers and employing some inequality techniques. Lastly, our theoretical results are verified via giving two numerical examples with their Matlab simulations.
Share and Cite:
Abudireman, A. , Abudusaimaiti, M. , Sun, W. , Zhao, J. , Zhang, Y. and Abdurahman, A. (2022) Some Further Results on Fixed-Time Synchronization of Neural Networks with Stochastic Perturbations.
Journal of Applied Mathematics and Physics,
10, 200-218. doi:
10.4236/jamp.2022.101015.
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