Exponential stability of BAM type Cohen-Grossberg neural networks with delays and impulsive on time scales

Autor:	Chaolong Zhang, Qian Wang, Wensi Ding, Fengjian Yang
Rok vydání:	2010
Předmět:	Class (set theory) Quantitative Biology::Neurons and Cognition Artificial neural network Exponential stability Computer science Control theory Computer Science::Neural and Evolutionary Computation Content-addressable storage Type (model theory) Stability (probability)
Zdroj:	2010 International Conference on Intelligent Control and Information Processing.
DOI:	10.1109/icicip.2010.5564311
Popis:	In this paper, we investigate impulsive effects on the stability a class of BAM type Cohen-Grossberg neural networks with delays and impulses. We obtain some sufficient conditions ensuring exponential stability of the impulsive system on time scales. The results extend and improve some recent works for impulsive neural networks as well as non-impulsive neural networks(or on time scales).
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::559e2eb88d2f0819eb85c5aa94360400 https://doi.org/10.1109/icicip.2010.5564311 Zobrazit plný text záznamu