Exponential Synchronization of Stochastic Time-delayed Memristor-based Neural Networks via Pinning Impulsive Control
This paper investigates the exponential synchronization of stochastic time-delayed memristor-based neural networks(MBNNs) with using pinning impulsive control. Different from the traditional impulsive control schemes, a hybrid pinning impulsive control scheme is presented, and some sufficient condit...
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Veröffentlicht in: | International journal of control, automation, and systems 2024, Automation, and Systems, 22(7), , pp.2283-2292 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | This paper investigates the exponential synchronization of stochastic time-delayed memristor-based neural networks(MBNNs) with using pinning impulsive control. Different from the traditional impulsive control schemes, a hybrid pinning impulsive control scheme is presented, and some sufficient conditions for exponential synchronization of system are established. Moreover, on the basis of the obtained results, the problem of delayed impulsive stabilization of stochastic time-delayed MBNN is studied. At last, an example is provided to demonstrate the validity of the obtained results. |
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ISSN: | 1598-6446 2005-4092 |
DOI: | 10.1007/s12555-022-1090-8 |