Event-based sliding-mode synchronization of delayed memristive neural networks via continuous/periodic sampling algorithm
•This paper investigates the problem of event-based sliding-mode synchronization of memristive neural networks with delay through continuous/periodic sampling algorithm.•Memristive neural networks are converted into the form of general neural networks by nonsmooth analysis.•The controller is designe...
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| Published in | Applied mathematics and computation Vol. 383; p. 125379 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Inc
15.10.2020
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0096-3003 1873-5649 |
| DOI | 10.1016/j.amc.2020.125379 |
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| Abstract | •This paper investigates the problem of event-based sliding-mode synchronization of memristive neural networks with delay through continuous/periodic sampling algorithm.•Memristive neural networks are converted into the form of general neural networks by nonsmooth analysis.•The controller is designed on the sliding manifold selected and the trajectory of the system with this controller are analyzed in detail.•Based on the continuous sampling, this paper further draws new results with the periodic sampling rule.•Finally, some numerical examples are given to verify the correctness of the theoretical results.
This paper investigates the problem of event-based sliding-mode synchronization of memristive neural networks with delay through continuous/periodic sampling algorithm. Memristive neural networks are converted into the form of general neural networks by nonsmooth analysis. Then the controller is designed on the sliding surface selected and the trajectory of the system with this controller are analyzed in detail. Based on the continuous sampling, this paper further draws new results with the periodic sampling rule. Finally, some numerical examples are given to verify the correctness of the theoretical results. |
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| AbstractList | •This paper investigates the problem of event-based sliding-mode synchronization of memristive neural networks with delay through continuous/periodic sampling algorithm.•Memristive neural networks are converted into the form of general neural networks by nonsmooth analysis.•The controller is designed on the sliding manifold selected and the trajectory of the system with this controller are analyzed in detail.•Based on the continuous sampling, this paper further draws new results with the periodic sampling rule.•Finally, some numerical examples are given to verify the correctness of the theoretical results.
This paper investigates the problem of event-based sliding-mode synchronization of memristive neural networks with delay through continuous/periodic sampling algorithm. Memristive neural networks are converted into the form of general neural networks by nonsmooth analysis. Then the controller is designed on the sliding surface selected and the trajectory of the system with this controller are analyzed in detail. Based on the continuous sampling, this paper further draws new results with the periodic sampling rule. Finally, some numerical examples are given to verify the correctness of the theoretical results. |
| ArticleNumber | 125379 |
| Author | Wen, Shiping Huang, Tingwen Wang, Yuxiao Cao, Yuting Guo, Zhenyuan |
| Author_xml | – sequence: 1 givenname: Yuxiao surname: Wang fullname: Wang, Yuxiao organization: School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China – sequence: 2 givenname: Yuting surname: Cao fullname: Cao, Yuting organization: College of Mathematics and Econometrics, Hunan University, Changsha, 410082, China – sequence: 3 givenname: Zhenyuan surname: Guo fullname: Guo, Zhenyuan organization: College of Mathematics and Econometrics, Hunan University, Changsha, 410082, China – sequence: 4 givenname: Tingwen surname: Huang fullname: Huang, Tingwen organization: Science Program, Texas A & M University at Qatar, Doha 23874, Qatar – sequence: 5 givenname: Shiping surname: Wen fullname: Wen, Shiping email: wenshiping@uestc.edu.cn organization: School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China |
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| Keywords | Memristive neural network Periodic sampling Event-triggering Sliding mode control |
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| Title | Event-based sliding-mode synchronization of delayed memristive neural networks via continuous/periodic sampling algorithm |
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