A class of fast fixed-time synchronization control for the delayed neural network |
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| Authors: | Yuhua Xu Defeng Meng Chengrong Xie Guoqiao You Wuneng Zhou |
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| Institution: | 1. School of Finance, Nanjing Audit University, Jiangsu 211815, China;2. College of Science, Nanjing Audit University, Jiangsu 211815, China;3. College of Information Science and Technology, Donghua University, Shanghai 201620, China |
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| Abstract: | This paper deals with the synchronization control of a class of delayed neural networks using a fast fixed-time control theory. By employing Lyapunov stability theory, a novel sufficient criterion is derived such that two neural networks can be synchronized within a fixed-time. Compared with some existing results, the proposed controller can render two neural networks faster synchronized. A numerical example is given to demonstrate the effectiveness of the criterion. |
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| Keywords: | Corresponding author |
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