Almost Periodicity in Impulsive Fractional-Order Reaction–Diffusion Neural Networks With Time-Varying Delays

Autor:	Gani Tr. Stamov, Jinde Cao, Stanislav Simeonov, Ivanka M. Stamova
Přispěvatelé:	Simeonov, Stanislav, Stamova, Ivanka, Cao, Jinde, Stamov, Gani
Rok vydání:	2021
Předmět:	0209 industrial biotechnology Time Factors Artificial neural network 02 engineering and technology Almost periodic processes fractional derivatives impulsive control neural networks reaction-diffusion terms stability time-varying delays uncertain terms Stability (probability) Computer Science Applications Human-Computer Interaction 020901 industrial engineering & automation Order (biology) Control and Systems Engineering Reaction–diffusion system 0202 electrical engineering electronic engineering information engineering Applied mathematics Computer Simulation 020201 artificial intelligence & image processing Neural Networks Computer Electrical and Electronic Engineering Focus (optics) Software Information Systems Mathematics
Zdroj:	IEEE Transactions on Cybernetics. 51:151-161
ISSN:	2168-2275 2168-2267
DOI:	10.1109/tcyb.2020.2967625
Popis:	A neural-network model of fractional order with impulsive perturbations, time-varying delays, and reaction-diffusion terms is investigated in this article. The focus is on investigating qualitative properties of the states and developing new almost periodicity and stability criteria. The uncertain case is also considered. Examples are established and the effectiveness of the obtained criteria is demonstrated. © 2013 IEEE.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::913772c6376d134df898b17005ee12cb https://doi.org/10.1109/tcyb.2020.2967625 Zobrazit plný text záznamu