Title :
Global Exponential Stability and Periodic Solutions of FCNNs with Constant Delays and Time-Varying Delays
Author :
Zhang, Qianhong ; Luo, Wei
Author_Institution :
Sch. of Math. Sci. & Comput. Technol., Central South Univ., Changsha, China
Abstract :
This paper is concerned with the problem of global exponential stability and existence of periodic solutions of fuzzy cellular neural networks (FCNNs). Employing young inequality and constructing suitable Lyapunov functional, some sufficient conditions are derived to check global exponential stability and existence of periodic solutions of FCNNs with delays. The results obtained extend previously known results.
Keywords :
Lyapunov methods; cellular neural nets; delays; fuzzy neural nets; stability; time-varying systems; FCNN; Lyapunov functional; constant delay; fuzzy cellular neural network; global exponential stability; periodic solution; time-varying delay; young inequality; Cellular networks; Cellular neural networks; Delay; Feeds; Fuzzy neural networks; Neural networks; Neurofeedback; Neurons; Stability; State feedback;
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
DOI :
10.1109/CSO.2009.227
