Mean-square asymptotical synchronization control and robust analysis of discrete-time neural networks with time-varying delay

Autor:	De-hui Lin, Jun Wu, Yang Zhu, Jian-ping Cai, Jian-ning Li
Jazyk:	angličtina
Rok vydání:	2018
Předmět:	Asymptotical synchronization control discrete-time neural networks time-varying delay controller nonlinearity uncertainty Control engineering systems. Automatic machinery (General) TJ212-225 Automation T59.5
Zdroj:	Automatika, Vol 59, Iss 3-4, Pp 382-390 (2018)
Druh dokumentu:	article
ISSN:	0005-1144 1848-3380 00051144
DOI:	10.1080/00051144.2018.1552651
Popis:	This paper investigates the controller design problem for mean-square asymptotical synchronization of discrete-time neural networks with time-varying delay. We proposed the design method of synchronization controller, which considered the nonlinearity of controller input. Based on the designed controller, a delay-dependent synchronization criterion is proposed and formulated in the form of linear matrix inequalities (LMIs) by applying the Lyapunov function method. The result is extended to the delayed discrete-time neural network with uncertainty. Two numerical examples are presented to illustrate the effectiveness of the proposed method.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/bf08c76e4afb4628aaf0e6c4ff518882 Zobrazit plný text záznamu View record in DOAJ