@inproceedings{7be9b2c112bf45b1a0c9030bf2dcb393,
title = "Mean square exponential stability of uncertain stochastic hopfield neural networks with interval time-varying delays",
abstract = "The problem of mean square exponential stability of uncertain stochastic Hopfield neural networks with interval time-varying delays is investigated in this paper. The delay factor is assumed to be timevarying and belongs to a given interval, which means that the derivative of the delay function can exceed one. The uncertainties considered in this paper are norm-bounded and possibly time-varying. By LyapunovKrasovskii functional approach and stochastic analysis approach, a new delay-dependent stability criteria for the exponential stability of stochastic Hopfield neural networks is derived in terms of linear matrix inequalities(LMIs). A simulation example is given to demonstrate the effectiveness of the developed techniques.",
author = "Jiqing Qiu and Hongjiu Yang and Yuanqing Xia and Jinhui Zhang",
year = "2007",
doi = "10.1007/978-3-540-74205-0\_13",
language = "English",
isbn = "9783540742012",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "110--119",
booktitle = "Advanced Intelligent Computing Theories and Applications",
address = "Germany",
note = "3rd International Conference on Intelligent Computing, ICIC 2007 ; Conference date: 21-08-2007 Through 24-08-2007",
}