Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1712920 | Journal of Systems Engineering and Electronics | 2008 | 6 Pages |
Abstract
Delay-dependent robust stability of cellular neural networks with time-varying discrete and distributed time-varying delays is considered. Based on Lyapunov stability theory and the linear matrix inequality (LMIs) technique, delay-dependent stability criteria are derived in terms of LMIs avoiding bounding certain cross terms, which often leads to conservatism. The effectiveness of the proposed stability criteria and the improvement over the existing results are illustrated in the numerical examples.
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Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Su Weiwei, Chen Yiming,