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2009 WRI World Congress on Computer Science and Information Engineering
Exponential Stability of Fuzzy Cellular Neural Networks with Time-Varying Delays and Impulses
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
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.
Citation:
Jinming Liang, Kelin Li, "Exponential Stability of Fuzzy Cellular Neural Networks with Time-Varying Delays and Impulses," csie, vol. 5, pp.637-644, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
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