A new approach to stability analysis of discrete-time recurrent neural networks with time-varying delay
- 27 November 2008
- journal article
- Published by Elsevier in Neurocomputing
- Vol. 72 (10-12), 2563-2568
- https://doi.org/10.1016/j.neucom.2008.11.009
Abstract
No abstract availableKeywords
This publication has 28 references indexed in Scilit:
- Discrete-Time Analogs for a Class of Continuous-Time Recurrent Neural NetworksIEEE Transactions on Neural Networks, 2007
- Stability Analysis and the Stabilization of a Class of Discrete-Time Dynamic Neural NetworksIEEE Transactions on Neural Networks, 2007
- Stability and Hopf Bifurcation in a Simplified BAM Neural Network With Two Time DelaysIEEE Transactions on Neural Networks, 2007
- An Improved Global Asymptotic Stability Criterion for Delayed Cellular Neural NetworksIEEE Transactions on Neural Networks, 2006
- Global asymptotic and robust stability of recurrent neural networks with time delaysIEEE Transactions on Circuits and Systems I: Regular Papers, 2005
- Linearization and state estimation of unknown discrete-time nonlinear dynamic systems using recurrent neurofuzzy networksIEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 1999
- Robustness analysis of a class of discrete-time recurrent neural networks under perturbationsIEEE Transactions on Circuits and Systems I: Regular Papers, 1999
- Recurrent neural networks for solving linear inequalities and equationsIEEE Transactions on Circuits and Systems I: Regular Papers, 1999
- Recurrent neural nets as dynamical Boolean systems with application to associative memoryIEEE Transactions on Neural Networks, 1997
- Absolute stability conditions for discrete-time recurrent neural networksIEEE Transactions on Neural Networks, 1994