Fixed-time synchronization of neural networks with time delay via quantized intermittent control |
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| Authors: | Wenqiang Yang Junjian Huang Shiping Wen Xing He |
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| Affiliation: | 1. Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, College of Electronic and Information Engineering, Southwest University, Chongqing, China;2. Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia |
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| Abstract: | This paper presents an approach for fixed-time synchronization (FIXTS) of neural networks (NNs) by designing quantized intermittent controller. Under the intermittent controller, the synchronization between neural network systems with time delay can be realized. Based on intermittent strategy, FIXTs theory is proposed, and a sufficient condition is established to realize the FIXTS of the master–slave NNs. At the same time, the establishment time of FIXTS is estimated. Finally, the simulation of Gilli attractor to prove the validity of the proposed method. |
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| Keywords: | delay fixed-time neural networks synchronization quantized intermittent controller |
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