State Estimation for Discrete-Time Stochastic Neural Networks with Mixed Delays
This paper investigates the analysis problem for stability of discrete-time neural networks (NNs) with discrete- and distribute-time delay. Stability theory and a linear matrix inequality (LMI) approach are developed to establish sufficient conditions for the NNs to be globally asymptotically stabl...
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Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2014-01-01
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Series: | Journal of Applied Mathematics |
Online Access: | http://dx.doi.org/10.1155/2014/209486 |
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