Further improved stability results for generalized neural networks with time-varying delays
This paper is concerned with a new Lyapunov–Krasovskii functional (LKF) approach to delay-dependent stability for generalized neural networks with time-varying delays (DNN). A new LKF is constructed by employing more information of the DNN. The state, the activation function and their ramifications...
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Published in: | Neurocomputing (Amsterdam) Vol. 367; pp. 308 - 318 |
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Main Authors: | , , |
Format: | Journal Article |
Language: | English |
Published: |
Elsevier B.V
20-11-2019
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Subjects: | |
Online Access: | Get full text |
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