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Some Further Results on Fixed-Time Synchronization of Neural Networks with Stochastic Perturbations
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作者 Aminamuhan Abudireman Mairemunisa Abudusaimaiti +3 位作者 wanjuan sun Jiangyuan Zhao Yuanshuang Zhang Abdujelil Abdurahman 《Journal of Applied Mathematics and Physics》 2022年第1期200-218,共19页
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 synchronizat... 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. 展开更多
关键词 Fixed-Time Stability Stochastic Perturbation SYNCHRONIZATION Neural Network
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