TY - GEN
A1 - Zhang, Qianhong
A1 - Yang, Lihui
A1 - Liao, Daixi
A2 - Korbicz, Józef - red.
A2 - Uciński, Dariusz - red.
PB - Zielona Góra: Uniwersytet Zielonogórski
N2 - 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.
L1 - http://www.zbc.uz.zgora.pl/Content/46948/AMCS_2011_21_4_6.pdf
L2 - http://www.zbc.uz.zgora.pl/Content/46948
KW - fuzzy cellular neural networks
KW - global exponential stability
KW - periodic solution
KW - coincidence degree
T1 - Existence and exponential stability of a periodic solution for fuzzy cellular neural networks with time-varying delays
UR - http://www.zbc.uz.zgora.pl/dlibra/docmetadata?id=46948
ER -