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https://hdl.handle.net/2440/83091
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Type: | Journal article |
Title: | New passivity analysis for neural networks with discrete and distributed delays |
Author: | Li, H. Gao, H. Shi, P. |
Citation: | IEEE Transactions on Neural Networks and Learning Systems, 2010; 21(11):1842-1847 |
Publisher: | IEEE-Inst Electrical Electronics Engineers Inc |
Issue Date: | 2010 |
ISSN: | 1045-9227 1941-0093 |
Statement of Responsibility: | Hongyi Li, Huijun Gao, and Peng Shi |
Abstract: | In this brief, the problem of passivity analysis is investigated for a class of uncertain neural networks (NNs) with both discrete and distributed time-varying delays. By constructing a novel Lyapunov functional and utilizing some advanced techniques, new delay-dependent passivity criteria are established to guarantee the passivity performance of NNs. Essentially different from the available results, when estimating the upper bound of the derivative of Lyapunov functionals, we consider and best utilize the additional useful terms about the distributed delays, which leads to less conservative results. These criteria are expressed in the form of convex optimization problems, which can be efficiently solved via standard numerical software. Numerical examples are provided to illustrate the effectiveness and less conservatism of the proposed results. |
Keywords: | Distributed delays neural networks (NNs) passivity time-varying delays. |
Rights: | © 2010 IEEE |
DOI: | 10.1109/TNN.2010.2059039 |
Published version: | http://dx.doi.org/10.1109/tnn.2010.2059039 |
Appears in Collections: | Aurora harvest Electrical and Electronic Engineering publications |
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