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Absolute exponential stability of recurrent neural networks with Lipschitz-continuous activation functions and time delays

Jinde Cao, +1 more
- 01 Apr 2004 - 
- Vol. 17, Iss: 3, pp 379-390
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TLDR
The results herein answer a question: if a neural network without any delay is absolutely exponentially stable, then under what additional conditions, the neural networks with delay is alsoabsolutely exponentially stable.
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This article is published in Neural Networks.The article was published on 2004-04-01. It has received 220 citations till now. The article focuses on the topics: Exponential stability & Activation function.

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Citations
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Journal ArticleDOI

Global exponential stability of generalized recurrent neural networks with discrete and distributed delays

TL;DR: A linear matrix inequality (LMI) approach is developed to establish sufficient conditions for the RNNs to be globally exponentially stable, and the existence and uniqueness of the equilibrium point under mild conditions is proved.
Journal ArticleDOI

A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks

TL;DR: The purpose of this paper is to provide a comprehensive review of the research on stability of continuous-time recurrent Neural networks, including Hopfield neural networks, Cohen-Grossberg neural networks and related models.
Journal ArticleDOI

Boundedness and stability for Cohen–Grossberg neural network with time-varying delays☆

TL;DR: In this article, a model is considered to describe the dynamics of the Cohen-Grossberg neural network with variable coefficients and time-varying delays, and sufficient conditions are derived for the model to be globally exponentially stable.
Journal ArticleDOI

Global synchronization of linearly hybrid coupled networks with time-varying delay

TL;DR: A generally linearly hybrid coupled network with time-varying delay is proposed, and several effective sufficient conditions of global synchronization are attained based on the Lyapunov function and a linear matrix inequality (LMI).
Journal ArticleDOI

Matrix measure strategies for stability and synchronization of inertial BAM neural network with time delays

TL;DR: Several sufficient conditions are presented for the global exponential stability of the equilibrium by using matrix measure and Halanay inequality and when employing an error-feedback control term to the response neural network.
References
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Journal ArticleDOI

The numerical analysis of ordinary differential equations: Runge-Kutta and general linear methods

TL;DR: The Euler Method and its Generalizations Analysis of Runge-Kutta Methods General Linear Methods Bibliography.
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Stability of analog neural networks with delay

TL;DR: In this paper, the authors analyzed the dynamics of continuous-time analog networks with delay, and showed that there is a critical delay above which a symmetrically connected network will oscillate.
Journal ArticleDOI

New conditions for global stability of neural networks with application to linear and quadratic programming problems

TL;DR: In this paper, the authors present new conditions ensuring existence, uniqueness, and global asymptotic stability of the equilibrium point for a large class of neural networks, which are applicable to both symmetric and nonsymmetric interconnection matrices and allow for the consideration of all continuous non-reasing neuron activation functions.
Book

The numerical analysis of ordinary differential equations

TL;DR: In this article, a temperature control system for individual rooms within a home is disclosed having a pair of thermostatically controlled switches settable to "occupied" and "unoccupied" temperatures respectively with a clock controlled switching arrangement for determining which switch is effective during predetermined hours of the day.
Journal ArticleDOI

Global stability conditions for delayed CNNs

TL;DR: Based on the Lyapunov stability theorem as well as some facts about the positive definiteness and inequality of matrices, a new sufficient condition is presented for the existence of a unique equilibrium point and its global asymptotic stability for delayed CNNs as mentioned in this paper.
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