State Estimation for Discrete-Time Stochastic Neural Networks with Mixed Delays

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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Bibliographic Details
Main Authors: Liyuan Hou, Hong Zhu, Shouming Zhong, Yong Zeng, Lin Shi
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/209486
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