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|Title:||Stability analysis for discrete-time Markovian jump neural networks with mixed time-delays|
|Citation:||Expert Systems with Applications, 2012; 39(6):6174-6181|
|Publisher:||Pergamon-Elsevier Science Ltd|
|Zheng-Guang Wu, Peng Shi, Hongye Su, Jian Chu|
|Abstract:||The problem of delay-dependent stability analysis is investigated for discrete-time Markovian jump neural networks with mixed time-delays (both discrete and infinity-distributed time delays). The Markov chain in the underlying neural networks is finite piecewise homogeneous. A delay-dependent condition is derived for the addressed neural networks to be globally asymptotically stable. As an extension, we further consider the stability analysis problem for the same type of neural networks but with partially known transition probabilities. Two numerical examples are given to demonstrate the usefulness of the derived methods. © 2011 Elsevier Ltd. All rights reserved.|
Markovian jumping parameters
Globally asymptotically stable
|Rights:||© 2011 Elsevier Ltd. All rights reserved.|
|Appears in Collections:||Aurora harvest 4|
Electrical and Electronic Engineering publications
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