Abstract
In this paper, the existence and global exponential stability of equilibrium point of high-order fuzzy cellular neural networks (HFCNNs) with time-varying delays is studied. Employing nonsingular M-matrix and Lyapunov functional method, some new sufficient conditions are derived for checking the existence and global exponential stability of equilibrium point of the HFCNNs with time-varying delays.
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Jiang, H., Guo, B., Teng, Z. (2009). Exponential Stability of High-Order Fuzzy Cellular Neural Networks with Time-Varying Delays. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5551. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01507-6_48
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DOI: https://doi.org/10.1007/978-3-642-01507-6_48
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01506-9
Online ISBN: 978-3-642-01507-6
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