Improved results on passivity analysis of uncertain neural networks with time-varying discrete and distributed delays

Authors:
Yonggang Chen;Wenlin Li;Weiping Bi
Affiliations:
Department of Mathematics, Henan Institute of Science and Technology, Xinxiang, China;College of Mathematics and Information Science. Henan Normal University, Xinxiang, China;College of Mathematics and Information Science. Henan Normal University, Xinxiang, China
Venue:
Neural Processing Letters
Year:
2009

Citing 12
Cited 7

Passivity approach to fuzzy control systems

Automatica (Journal of IFAC)
Letters: Passivity analysis of integro-differential neural networks with time-varying delays

Neurocomputing
A Delay-Dependent Approach to Passivity Analysis for Uncertain Neural Networks with Time-varying Delay

Neural Processing Letters
Neural networks letter: Novel stability of cellular neural networks with interval time-varying delay

Neural Networks
Brief paper: A discrete delay decomposition approach to stability of linear retarded and neutral systems

Automatica (Journal of IFAC)
Passivity analysis of discrete-time stochastic neural networks with time-varying delays

Neurocomputing
New results on passivity analysis of uncertain neural networks with time-varying delays

International Journal of Computer Mathematics
Passivity analysis and passification for uncertain signalprocessing systems

IEEE Transactions on Signal Processing
Exponential stability and periodic oscillatory solution in BAM networks with delays

IEEE Transactions on Neural Networks
Robust global exponential stability of Cohen-Grossberg neural networks with time delays

IEEE Transactions on Neural Networks
New Delay-Dependent Stability Criteria for Neural Networks With Time-Varying Delay

IEEE Transactions on Neural Networks
Stability Analysis for Neural Networks With Time-Varying Interval Delay

IEEE Transactions on Neural Networks

Passive learning and input-to-state stability of switched Hopfield neural networks with time-delay

Information Sciences: an International Journal
New passivity results for uncertain discrete-time stochastic neural networks with mixed time delays

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

Neural Processing Letters
Exponential Stability of Uncertain Stochastic Neural Networks with Markovian Switching

Neural Processing Letters
New passivity analysis for neural networks with discrete and distributed delays

IEEE Transactions on Neural Networks
A delay decomposition approach to delay-dependent passivity analysis for interval neural networks with time-varying delay

Neurocomputing
Global robust passivity analysis for stochastic fuzzy interval neural networks with time-varying delays

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, the passivity analysis problem is investigated for uncertain neural networks with time-varying discrete and distributed delays. Based on direct delay decomposition idea and free-weighting matrix approach, several new delay-dependent passive criterions are derived in terms of linear matrix inequalities (LMIs), which can he easily checked by the Matlab LMI toolbox. Numerical examples show that the obtained results improve some existing ones.