Exploring the finite-time dissipativity of Markovian jump delayed neural networks
In this paper, we study the finite-time dissipativity analysis of Markovian jump-delayed neural networks (MJDNNs). The goal is to establish less conservative results for extended dissipativity conditions for delayed MJDNNs. To achieve this, an appropriate Lyapunov-Krasovskii functional (LKF) with no...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Elsevier
2023-09-01
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| Schriftenreihe: | Alexandria Engineering Journal |
| Schlagworte: | |
| Online-Zugang: | http://www.sciencedirect.com/science/article/pii/S1110016823006634 |
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