Robust stability for uncertain impulsive autoassociative neural networks

Tong-Hui Qian; Zhi-Hong Guan; Guanrong Chen

Robust stability for uncertain impulsive autoassociative neural networks

Tong-Hui Qian, Zhi-Hong Guan, Guanrong Chen

Department of Electrical Engineering

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

2 Citations (Scopus)

Abstract

Many complex dynamical behaviors in the real world can be modelled by interval impulsive differential systems or interval impulsive neural networks. This paper formulates and studies a model for the uncertain interval impulsive autoassociative neural networks. The fundamental issue of global exponential robust stability of this new model is investigated and some sufficient stability conditions are obtained.

Original language	English
Pages (from-to)	69-79
Journal	Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications and Algorithms
Volume	10
Issue number	1-3
Publication status	Published - Feb 2003

Research Keywords

Equilibrium
Impulsive autoassociative neural network
Robust stability
Uncertainty

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abstract = "Many complex dynamical behaviors in the real world can be modelled by interval impulsive differential systems or interval impulsive neural networks. This paper formulates and studies a model for the uncertain interval impulsive autoassociative neural networks. The fundamental issue of global exponential robust stability of this new model is investigated and some sufficient stability conditions are obtained.",

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T1 - Robust stability for uncertain impulsive autoassociative neural networks

AU - Qian, Tong-Hui

AU - Guan, Zhi-Hong

AU - Chen, Guanrong

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Y1 - 2003/2

N2 - Many complex dynamical behaviors in the real world can be modelled by interval impulsive differential systems or interval impulsive neural networks. This paper formulates and studies a model for the uncertain interval impulsive autoassociative neural networks. The fundamental issue of global exponential robust stability of this new model is investigated and some sufficient stability conditions are obtained.

AB - Many complex dynamical behaviors in the real world can be modelled by interval impulsive differential systems or interval impulsive neural networks. This paper formulates and studies a model for the uncertain interval impulsive autoassociative neural networks. The fundamental issue of global exponential robust stability of this new model is investigated and some sufficient stability conditions are obtained.

KW - Equilibrium

KW - Impulsive autoassociative neural network

KW - Robust stability

KW - Uncertainty

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M3 - RGC 21 - Publication in refereed journal

SN - 1492-8760

VL - 10

SP - 69

EP - 79

JO - Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications and Algorithms

JF - Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications and Algorithms

IS - 1-3

ER -

Robust stability for uncertain impulsive autoassociative neural networks

Abstract

Research Keywords

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