Exponential Stability of High-Order Fuzzy Cellular Neural Networks with Time-Varying Delays

Authors:
Haijun Jiang;Bianjing Guo;Zhidong Teng
Affiliations:
College of Mathematics and System Sciences, Xinjiang University, Urumqi, China 830046;College of Mathematics and System Sciences, Xinjiang University, Urumqi, China 830046;College of Mathematics and System Sciences, Xinjiang University, Urumqi, China 830046
Venue:
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Year:
2009

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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.