Fault-tolerant and attack-tolerant cooperative event-triggered sampled-data security control for synchronization of RDNNs with stochastic actuator failures and random deception attacks
In this article, the fault-tolerant and attack-tolerant cooperative event-triggered sampled-data security (FACETSDS) synchronization problem of space-varying reaction–diffusion neural networks (SVRDNNs) under spatially point measurements (SPMs) with stochastic actuator failures and random deception...
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Published in | Neurocomputing (Amsterdam) Vol. 636; p. 130021 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
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Elsevier B.V
01.07.2025
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Abstract | In this article, the fault-tolerant and attack-tolerant cooperative event-triggered sampled-data security (FACETSDS) synchronization problem of space-varying reaction–diffusion neural networks (SVRDNNs) under spatially point measurements (SPMs) with stochastic actuator failures and random deception attacks is investigated. First, to save more communication resources and adapt to the variation of system dynamics subject to stochastic actuator failures and random deception attacks, a FACETSDS control scheme is proposed under SPMs. Second, by constructing a Lyapunov functional and utilizing inequality techniques, some synchronization criteria based on spatial linear matrix inequalities (SLMIs) are derived for SVRDNNs. Then, to solve SLMIs, the FETSDS control for synchronization problem of SVRDNNs under SPMs with stochastic actuator failures and random deception attacks is formulated as an linear matrix inequality feasibility problem. Lastly, the designed FACETSDS synchronization strategy is verified by one numerical example. |
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AbstractList | In this article, the fault-tolerant and attack-tolerant cooperative event-triggered sampled-data security (FACETSDS) synchronization problem of space-varying reaction–diffusion neural networks (SVRDNNs) under spatially point measurements (SPMs) with stochastic actuator failures and random deception attacks is investigated. First, to save more communication resources and adapt to the variation of system dynamics subject to stochastic actuator failures and random deception attacks, a FACETSDS control scheme is proposed under SPMs. Second, by constructing a Lyapunov functional and utilizing inequality techniques, some synchronization criteria based on spatial linear matrix inequalities (SLMIs) are derived for SVRDNNs. Then, to solve SLMIs, the FETSDS control for synchronization problem of SVRDNNs under SPMs with stochastic actuator failures and random deception attacks is formulated as an linear matrix inequality feasibility problem. Lastly, the designed FACETSDS synchronization strategy is verified by one numerical example. |
ArticleNumber | 130021 |
Author | Qiao, Junfei Huang, Tingwen Wang, Zi-Peng Zhao, Feng-Liang Wu, Huai-Ning |
Author_xml | – sequence: 1 givenname: Feng-Liang surname: Zhao fullname: Zhao, Feng-Liang organization: School of Intelligent Systems Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen 518000, China – sequence: 2 givenname: Zi-Peng surname: Wang fullname: Wang, Zi-Peng email: zipengwang@bjut.edu.cn organization: Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China – sequence: 3 givenname: Junfei surname: Qiao fullname: Qiao, Junfei organization: Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China – sequence: 4 givenname: Huai-Ning surname: Wu fullname: Wu, Huai-Ning organization: Science and Technology on Aircraft Control Laboratory, School of Automation Science and Electrical Engineering, Beihang University, Beijing 1001911, China – sequence: 5 givenname: Tingwen surname: Huang fullname: Huang, Tingwen organization: Faculty of Computer Science and Control Engineering, Shenzhen University of Advanced Technology, Shenzhen 518055, China |
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Keywords | Spatial linear matrix inequalities Stochastic actuator failures Fault-tolerant and attack-tolerant cooperative control Space-varying reaction–diffusion neural networks Event-triggered sampled-data security control |
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Snippet | In this article, the fault-tolerant and attack-tolerant cooperative event-triggered sampled-data security (FACETSDS) synchronization problem of space-varying... |
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SubjectTerms | Event-triggered sampled-data security control Fault-tolerant and attack-tolerant cooperative control Space-varying reaction–diffusion neural networks Spatial linear matrix inequalities Stochastic actuator failures |
Title | Fault-tolerant and attack-tolerant cooperative event-triggered sampled-data security control for synchronization of RDNNs with stochastic actuator failures and random deception attacks |
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