Event-triggered synchronization control for neural networks against DoS attacks
This paper studied the event-triggered synchronization problem for time-delay neural networks under DoS attacks. A novel event-triggered scheme based on switching between periodic sampling and a continuous event-triggered scheme was proposed, which not only cuts down the number of data transmissions...
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| Format: | Article |
| Language: | English |
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AIMS Press
2025-01-01
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| Series: | Electronic Research Archive |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/era.2025007 |
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| _version_ | 1850151453219356672 |
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| author | Yawei Liu Guangyin Cui Chen Gao |
| author_facet | Yawei Liu Guangyin Cui Chen Gao |
| author_sort | Yawei Liu |
| collection | DOAJ |
| description | This paper studied the event-triggered synchronization problem for time-delay neural networks under DoS attacks. A novel event-triggered scheme based on switching between periodic sampling and a continuous event-triggered scheme was proposed, which not only cuts down the number of data transmissions but also offsets cyberattacks. By choosing a suitable piecewise Lyapunov-Krasovskii functional and using several free-weighting matrices, sufficient conditions were established to ensure the exponential stability of the synchronization error system in the occurrence of DoS attacks. Furthermore, a co-design method was provided to acquire the desired non-fragile output-feedback control gain and event-triggering parameter. Finally, a numerical example was given to illustrate the usefulness of the proposed approach. |
| format | Article |
| id | doaj-art-ce2b706a488d43eeb4fad9c2c33aac46 |
| institution | OA Journals |
| issn | 2688-1594 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Electronic Research Archive |
| spelling | doaj-art-ce2b706a488d43eeb4fad9c2c33aac462025-08-20T02:26:15ZengAIMS PressElectronic Research Archive2688-15942025-01-0133112114110.3934/era.2025007Event-triggered synchronization control for neural networks against DoS attacksYawei Liu0Guangyin Cui1Chen Gao2Kunlun Digital Technology Co. Ltd., Beijing 100007, ChinaKunlun Digital Technology Co. Ltd., Beijing 100007, ChinaKunlun Digital Technology Co. Ltd., Beijing 100007, ChinaThis paper studied the event-triggered synchronization problem for time-delay neural networks under DoS attacks. A novel event-triggered scheme based on switching between periodic sampling and a continuous event-triggered scheme was proposed, which not only cuts down the number of data transmissions but also offsets cyberattacks. By choosing a suitable piecewise Lyapunov-Krasovskii functional and using several free-weighting matrices, sufficient conditions were established to ensure the exponential stability of the synchronization error system in the occurrence of DoS attacks. Furthermore, a co-design method was provided to acquire the desired non-fragile output-feedback control gain and event-triggering parameter. Finally, a numerical example was given to illustrate the usefulness of the proposed approach.https://www.aimspress.com/article/doi/10.3934/era.2025007event-triggered schemesynchronization controldos attacksneural networks |
| spellingShingle | Yawei Liu Guangyin Cui Chen Gao Event-triggered synchronization control for neural networks against DoS attacks Electronic Research Archive event-triggered scheme synchronization control dos attacks neural networks |
| title | Event-triggered synchronization control for neural networks against DoS attacks |
| title_full | Event-triggered synchronization control for neural networks against DoS attacks |
| title_fullStr | Event-triggered synchronization control for neural networks against DoS attacks |
| title_full_unstemmed | Event-triggered synchronization control for neural networks against DoS attacks |
| title_short | Event-triggered synchronization control for neural networks against DoS attacks |
| title_sort | event triggered synchronization control for neural networks against dos attacks |
| topic | event-triggered scheme synchronization control dos attacks neural networks |
| url | https://www.aimspress.com/article/doi/10.3934/era.2025007 |
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