New delay-dependent stability criteria for uncertain neutral systems with mixed time-varying delays and nonlinear perturbations

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dc.contributor.author	Karimi, Hamid Reza
dc.contributor.author	Zapateiro de la Hoz, Mauricio Fabián
dc.contributor.author	Luo, Ningsu
dc.date	2009
dc.date.accessioned	2011-07-26T11:42:11Z
dc.date.available	2011-07-26T11:42:11Z
dc.date.issued	2011-07-26T11:42:11Z
dc.identifier.citation	Karimi, H.R, Zapateiro, M., i Luo, N. (2009). New delay-dependent stability criteria for uncertain neutral systems with mixed time-varying delays and nonlinear perturbations. Mathematical Problems in Engineering, 759248. Recuperat 21 juny de 2011, a http://www.hindawi.com/journals/mpe/2009/759248/
dc.identifier.uri	http://hdl.handle.net/10256/3446
dc.format	application/pdf
dc.language.iso	eng
dc.publisher	Hindawi Publishing Corporation
dc.relation	http://dx.doi.org/10.1155/2009/759248
dc.relation	Mathematical Problems in Engineering, 2009, núm. 759248
dc.relation	Articles publicats (D-EEEiA)
dc.rights	Aquest document està subjecte a una llicència Creative Commons: Reconeixement (by)
dc.rights	http://creativecommons.org/licenses/by/3.0/es/deed.ca
dc.subject	Control automatic
dc.subject	Control digital
dc.subject	Lyapunov, Funcions de
dc.subject	Automatic control
dc.subject	Digital control systems
dc.subject	Lyapunov functions
dc.title	New delay-dependent stability criteria for uncertain neutral systems with mixed time-varying delays and nonlinear perturbations
dc.type	info:eu-repo/semantics/article
dc.description.abstract	The problem of stability analysis for a class of neutral systems with mixed time-varying neutral, discrete and distributed delays and nonlinear parameter perturbations is addressed. By introducing a novel Lyapunov-Krasovskii functional and combining the descriptor model transformation, the Leibniz-Newton formula, some free-weighting matrices, and a suitable change of variables, new sufficient conditions are established for the stability of the considered system, which are neutral-delay-dependent, discrete-delay-range dependent, and distributeddelay-dependent. The conditions are presented in terms of linear matrix inequalities (LMIs) and can be efficiently solved using convex programming techniques. Two numerical examples are given to illustrate the efficiency of the proposed method

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