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Paper details
Number 4 - December 2011
Volume 21 - 2011
Existence and exponential stability of a periodic solution for fuzzy cellular neural networks with time-varying delays
Qianhong Zhang, Lihui Yang, Daixi Liao
Abstract
Fuzzy cellular neural networks with time-varying delays are considered. Some sufficient conditions for the existence and exponential stability of periodic solutions are obtained by using the continuation theorem based on the coincidence degree and the differential inequality technique. The sufficient conditions are easy to use in pattern recognition and automatic
control. Finally, an example is given to show the feasibility and effectiveness of our methods.
Keywords
fuzzy cellular neural networks, global exponential stability, periodic solution, coincidence degree