Non-fragile mixed H-infinity and passivity control for neural networks with successive time-varying delay components

Autor:	Sathasivam Rajavel, Rajendran Samidurai, Sebastiyan Anthuvan Jerome Kilbert, Jinde Cao, Ahmed Alsaedi
Jazyk:	angličtina
Rok vydání:	2018
Předmět:	nonfragile successive time-varying delay components Lyapunov–Krasovskii function H-infinity and passivity control Analysis QA299.6-433
Zdroj:	Nonlinear Analysis, Vol 23, Iss 2 (2018)
Druh dokumentu:	article
ISSN:	1392-5113 2335-8963
DOI:	10.15388/NA.2018.2.2
Popis:	This paper is concerned with the problem of nonfragile mixed H∞ and passivity control for neural networks with successive time-varying delay components. We construct a suitable Lyapunov–Krasovskii function with triple and quadruple integral terms then utilizing Jensen's lemma and Wirtinger-type inequality technique. Some sufficient conditions are presented for the existence of nonfragile mixed H∞ and passivity performance criterions. The expressions for the nonfragile controller can be obtained by solving a set of linear matrix inequality. Finally, two numerical examples are presented to demonstrate the effectiveness of our proposed method.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/57a812eab1154bdfa0506bbde218538d Zobrazit plný text záznamu View record in DOAJ