Title :
Global stability in delayed cellular neural networks
Author_Institution :
Adult Educ. Coll., Yunnan Univ., Kunming, China
Abstract :
The problem of global asymptotic stability of a class of delayed cellular neural networks (DCNNs) is further addressed by means of the Lyapunov functional method and the inequality a3+b3+c3⩾3abc(a,b,c⩾0) techniques, a set of criteria are found ensuring the global asymptotic stability of DCNNs with more general output functions. These criteria have important significance in signal processing, especially in moving image treatment
Keywords :
Lyapunov methods; algebra; asymptotic stability; cellular neural nets; functional equations; Lyapunov functional method; delayed cellular neural networks; global asymptotic stability; inequality techniques; moving images; signal processing; Asymptotic stability; Cellular networks; Cellular neural networks; Circuits; Delay effects; Educational institutions; Hydrogen; Intelligent networks; Neural networks; Signal processing;
Conference_Titel :
Neural Networks for Signal Processing IX, 1999. Proceedings of the 1999 IEEE Signal Processing Society Workshop.
Conference_Location :
Madison, WI
Print_ISBN :
0-7803-5673-X
DOI :
10.1109/NNSP.1999.788127
