Lmi Approach To the Global Robust Stability of a Larger Class of Neural Networks With Delay
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Date
2007
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Volume Title
Publisher
Pergamon-elsevier Science Ltd
Open Access Color
Green Open Access
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Abstract
Sufficient conditions in the form of linear matrix inequality for the uniqueness and global asymptotic stability of the equilibrium point of a large class of uncertain neural networks with delay are presented. The conditions are based on norm-bounded uncertainties. An example is given to show the effectiveness of the obtained results. A comparison is made between the present approach and an earlier approach due to Lu, Rong and Chen. An error is corrected in an earlier publication. (c) 2006 Elsevier Ltd. All rights reserved.
Description
Keywords
[No Keyword Available], Stability theory of functional-differential equations, robust stability, delay equations, Robust stability, Neural networks for/in biological studies, artificial life and related topics, neural networks
Turkish CoHE Thesis Center URL
Fields of Science
0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences
Citation
WoS Q
Q1
Scopus Q
OpenCitations Citation Count
13
Source
Chaos, Solitons & Fractals
Volume
32
Issue
5
Start Page
1927
End Page
1934
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CrossRef : 13
Scopus : 15
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