Global Exponential Stability of a General Class of BAM Neural Networks with Impulsive and Delay

Autor:	Wensi Ding, Chaolong Zhang, Fengjian Yang, Yanshan Zeng
Rok vydání:	2010
Předmět:	Lyapunov function Equilibrium point symbols.namesake Class (set theory) Exponential stability Artificial neural network Control theory symbols Content-addressable storage Bidirectional associative memory Piecewise lyapunov function Mathematics
Zdroj:	2010 Third International Symposium on Electronic Commerce and Security.
DOI:	10.1109/isecs.2010.82
Popis:	By piecewise Lyapunov function , a general class of bidirectional associative memory with impulsive and delay is studied.Several global exponential stability criteria of the equilibrium point are established.Two linear impulsive neural networks with delays are constructed, which can be used to design impulsive controllers to control the exponential stability of the system. This method is possible in practical application.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7ec98a32e85f3847cb74fbed87089dcd https://doi.org/10.1109/isecs.2010.82 Zobrazit plný text záznamu