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Delay-dependent exponential stability for a class of neural networks with time delays

Author
SHENGYUAN XU1 ; LAM, James2 ; HO, Daniel W. C3 ; YUN ZOU1
[1] Department of Automation, Nanjing University of Science and Technology, Nanjing 210094, China
[2] Department of Mechanical Engineering, University of Hong Kong, Pokfulam Road, Hong-Kong
[3] Department of Mathematics, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong-Kong
Source

Journal of computational and applied mathematics. 2005, Vol 183, Num 1, pp 16-28, 13 p ; ref : 20 ref

CODEN
JCAMDI
ISSN
0377-0427
Scientific domain
Computer science; Mathematics
Publisher
Elsevier, Amsterdam
Publication country
Netherlands
Document type
Article
Language
English
Author keyword
Delay-dependent conditions Global exponential stability Linear matrix inequality Neural networks Neutral systems Time-delay systems
Keyword (fr)
Analyse numérique Condition existence Condition suffisante Equation différentielle non linéaire Equation différentielle Equation non linéaire Equation à retard Inégalité matricielle linéaire Mathématiques appliquées Point équilibre Réseau neuronal Stabilité exponentielle Temps retard Equation neutre Stabilité globale
Keyword (en)
Numerical analysis Existence condition Sufficient condition Nonlinear differential equations Differential equation Non linear equation Delay equation Linear matrix inequality Applied mathematics Equilibrium point Neural network Exponential stability Delay time Neutral equation
Keyword (es)
Análisis numérico Condición existencia Condición suficiente Ecuación diferencial Ecuación no lineal Ecuación retardada Desigualdad matricial lineal Matemáticas aplicadas Punto equilibrio Red neuronal Estabilidad exponencial Tiempo retardo
Classification
Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02E Mathematical analysis / 001A02E07 Ordinary differential equations

Discipline
Mathematics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
16958310

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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