A new sufficient condition for global robust stability of bidirectional associative memory neural networks with multiple time delays
Authors:
- Neyir OzcanNONeyir Ozcan
- Sabri ArikSabri Arik
- 1 October 2009
- journal article
- research article
- Published by Elsevier in Nonlinear Analysis: Real World Applications
- Vol. 10 (5) , 3312-3320
Abstract
No abstract availableKeywords
This publication has 31 references indexed in Scilit:
- Existence and exponential stability of almost periodic solution for Hopfield-type neural networks with impulseChaos, Solitons & Fractals, 2008
- On global stability criterion of neural networks with continuously distributed delaysChaos, Solitons & Fractals, 2008
- A new global robust stability criteria for uncertain neural networks with fast time-varying delaysChaos, Solitons & Fractals, 2008
- Global exponential stability conditions for generalized state-space systems with time-varying delaysChaos, Solitons & Fractals, 2008
- Delay-dependent exponential stability criteria for non-autonomous cellular neural networks with time-varying delays☆Chaos, Solitons & Fractals, 2008
- Stability of non-autonomous bidirectional associative memory neural networks with delayNeurocomputing, 2008
- Global exponential stability of a class of BAM networks with time-varying delays and continuously distributed delaysNeurocomputing, 2007
- Global exponential periodicity and global exponential stability of a class of recurrent neural networks with various activation functions and time-varying delaysNeural Networks, 2007
- LMI-based criteria for global robust stability of bidirectional associative memory networks with time delayNonlinear Analysis, 2007
- Dynamic stability conditions for Lotka-Volterra recurrent neural networks with delaysPhysical Review E, 2002