@inproceedings{c4ce5d09c35c415b9db346d8e9ea4674,
title = "Stochastic robust stability analysis for Markovian jump discrete-time delayed neural networks with multiplicative nonlinear perturbations",
abstract = "The problem of stochastic robust stability for Markovian jump discrete-time delayed neural networks with multiplicative nonlinear perturbation is investigated via Lyapunov stability theory in this paper. Based on the linear matrix inequality (LMI) methodology, a novel analysis approach is developed. The sufficient conditions of stochastically robust stable are given in terms of coupled linear matrix inequalities. The stable criteria represented in LMI setting are less conservative and more computationally efficient than the methods reported in the literature.",
author = "Li Xie and Tianming Liu and Guodong Lu and Jilin Liu and Wong, {Stephen T C}",
note = "Copyright: Copyright 2015 Elsevier B.V., All rights reserved.; 3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks ; Conference date: 28-05-2006 Through 01-06-2006",
year = "2006",
doi = "10.1007/11759966_26",
language = "English (US)",
isbn = "354034439X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "172--178",
booktitle = "Advances in Neural Networks - ISNN 2006",
}