Abstract
The problem of finite-time boundedness(FTB) for a class of Cohen-Grossberg neural networks(CGNNs) with multiple delays and parameter perturbations is analyzed in this paper. By way of extending the concept of FTB for time delay system and constructing a suitable Lyapunov function and using linear matrix inequality(LMI) technique, some delay-dependent criteria are derived to guarantee FTB for uncertain and certain CGNNs with multiple delays. Meanwhile, an algorithm is also presented. Finally, simulation examples are given to demonstrate the effectiveness of the conclusion.
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Wang, X., Jiang, M., Jiang, C., Li, S. (2010). Finite-Time Boundedness Analysis of Uncertain CGNNs with Multiple Delays. In: Zhang, L., Lu, BL., Kwok, J. (eds) Advances in Neural Networks - ISNN 2010. ISNN 2010. Lecture Notes in Computer Science, vol 6063. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13278-0_78
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DOI: https://doi.org/10.1007/978-3-642-13278-0_78
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13277-3
Online ISBN: 978-3-642-13278-0
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