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Computer Science and Information Engineering, World Congress on (2009)
Los Angeles, California USA
Mar. 31, 2009 to Apr. 2, 2009
ISBN: 978-0-7695-3507-4
pp: 637-644
ABSTRACT
In this paper, a generalized model of fuzzy cellular neural networks (FCNNs) with time-varying delays and impulses is formulated and investigated. By employing the delay differential inequality with impulses initial conditions and the M-matrix theory, some new sufficient conditions ensuring the existence, uniqueness and global exponential stability of equilibrium point for FCNNs with time-varying delays and impulses are obtained. In particular, a more precise estimate of exponential convergence rate is provided. An example is given to show the effectiveness of the obtained results.
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CITATION
Kelin Li, Jinming Liang, "Exponential Stability of Fuzzy Cellular Neural Networks with Time-Varying Delays and Impulses", Computer Science and Information Engineering, World Congress on, vol. 05, no. , pp. 637-644, 2009, doi:10.1109/CSIE.2009.724
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