Title :
Global asymptotic stability of fuzzy cellular neural networks with unbounded time-varying delays
Author :
Zhu, Chongjun ; Bao, Gang
Author_Institution :
Coll. of Math. & Stat., Hubei Normal Univ., Huangshi, China
Abstract :
The global asymptotic stability of fuzzy cellular neural networks with unbounded time-varying delays and Lipschitz continuous activation functions is investigated in this brief. Based on the concept of comparison, some novel sufficient conditions for the globally asymptotic stability of equilibria are given.
Keywords :
asymptotic stability; cellular neural nets; delays; fuzzy control; Lipschitz continuous activation function; fuzzy cellular neural network; global asymptotic stability; unbounded time-varying delay; Artificial neural networks; Asymptotic stability; Cellular neural networks; Circuit stability; Circuits and systems; Delay; Stability analysis;
Conference_Titel :
Information Science and Technology (ICIST), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9440-8
DOI :
10.1109/ICIST.2011.5765133
