Novel Stability Analysis for Recurrent Neural Networks With Multiple Delays via Line Integral-Type L-K Functional

Abstract

This paper studies the stability problem of a class of recurrent neural networks (RNNs) with multiple delays. By using an augmented matrix-vector transformation for delays and a novel line integral-type Lyapunov-Krasovskii functional, a less conservative delay-dependent global asymptotical stability criterion is first proposed for RNNs with multiple delays… (More)
DOI: 10.1109/TNN.2010.2054107

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Cite this paper

@article{Liu2010NovelSA, title={Novel Stability Analysis for Recurrent Neural Networks With Multiple Delays via Line Integral-Type L-K Functional}, author={Zhenwei Liu and Huaguang Zhang and Qingling Zhang}, journal={IEEE Transactions on Neural Networks}, year={2010}, volume={21}, pages={1710-1718} }