Short Communication: Global stability analysis of interval neural networks with discrete and distributed delays of neutral type

Authors:
Leipo Liu;Zhengzhi Han;Wenlin Li
Affiliations:
School of Electrical and Information Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;School of Electrical and Information Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;College of Mathematics and Information Science, Henan Normal University, Xinxiang 453007, China
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

Citing 5
Cited 15

Global robust stability of interval neural networks with multiple time-varying delays

Mathematics and Computers in Simulation
Stability analysis of Cohen-Grossberg neural network with both time-varying and continuously distributed delays

Journal of Computational and Applied Mathematics
Statistical fuzzy interval neural networks for currency exchange rate time series prediction

Applied Soft Computing
Broadcast scheduling in wireless sensor networks using fuzzy Hopfield neural network

Expert Systems with Applications: An International Journal
Letters: New global exponential stability results for neutral type neural networks with distributed time delays

Neurocomputing

New results for robust stability of dynamical neural networks with discrete time delays

Expert Systems with Applications: An International Journal
Improved asymptotic stability criteria for neural networks with interval time-varying delay

Expert Systems with Applications: An International Journal
Delay dependent stability results for fuzzy BAM neural networks with Markovian jumping parameters

Expert Systems with Applications: An International Journal
Stability of almost periodic solution for a generalized neutral-type neural networks with delays

Neurocomputing
Global Passivity Analysis of Interval Neural Networks with Discrete and Distributed Delays of Neutral Type

Neural Processing Letters
Discussion: Comments on "Global stability analysis of interval neural networks with discrete and distributed delays of neutral type"

Expert Systems with Applications: An International Journal
LMI approach for stationary oscillation of interval neural networks with discrete and distributed time-varying delays under impulsive perturbations

IEEE Transactions on Neural Networks
Stability analysis for discrete-time Markovian jump neural networks with mixed time-delays

Expert Systems with Applications: An International Journal
Globe robust stability analysis for interval neutral systems

ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
Neural networks letter: Robust stability analysis of a class of neural networks with discrete time delays

Neural Networks
Short communication: Improved global robust exponential stability criteria for interval neural networks with time-varying delays

Expert Systems with Applications: An International Journal
A new robust stability criterion for dynamical neural networks with multiple time delays

Neurocomputing
A delay partitioning approach to delay-dependent stability analysis for neutral type neural networks with discrete and distributed delays

Neurocomputing
A new condition for robust stability of uncertain neural networks with time delays

Neurocomputing
Periodically intermittent control on robust exponential synchronization for switched interval coupled networks

Neurocomputing

Quantified Score

Hi-index	12.06

Visualization

Abstract

This paper is concerned with the problem of the global asymptotic stability of a class of interval neural networks with discrete and distributed delays of neutral type. Based on the Lyapunov stability theory, a novel robust delay-dependent criterion is derived in terms of linear matrix inequality (LMI). Finally, an example illustrates the validity of the proposed method.