Abstract
The problem of stochastic robust stability analysis for Markovian jump neural networks with time delay has been investigated via stochastic stability theory. The neural network under consideration is subject to norm-bounded stochastic nonlinear perturbation. The sufficient conditions for robust stability of Markovian jumping stochastic neural networks with time delay have been developed for all admissible perturbations. All the results are given in terms of linear matrix inequalities.
This work was supported by Chinese Nature Science Foundation (60473129).
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© 2005 Springer-Verlag Berlin Heidelberg
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Xie, L. (2005). Stochastic Robust Stability Analysis for Markovian Jump Neural Networks with Time Delay. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3610. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539087_49
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DOI: https://doi.org/10.1007/11539087_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28323-2
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