Global Lagrange stability for inertial neural networks with mixed time-varying delays
- 1 April 2017
- journal article
- Published by Elsevier BV in Neurocomputing
- Vol. 235, 140-146
- https://doi.org/10.1016/j.neucom.2017.01.007
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (91546118, 71690242, 51276081)
This publication has 30 references indexed in Scilit:
- Finite time stabilization of delayed neural networksNeural Networks, 2015
- Neural network for solving Nash equilibrium problem in application of multiuser power controlNeural Networks, 2014
- An improved robust stability result for uncertain neural networks with multiple time delaysNeural Networks, 2014
- Global exponential synchronization of memristor-based recurrent neural networks with time-varying delaysNeural Networks, 2013
- Synchronization of Nonlinear Dynamical Networks With Heterogeneous ImpulsesIEEE Transactions on Circuits and Systems I: Regular Papers, 2013
- Exponential Synchronization of Coupled Switched Neural Networks With Mode-Dependent Impulsive EffectsIEEE Transactions on Neural Networks and Learning Systems, 2013
- New results on exponential passivity of neural networks with time-varying delaysNonlinear Analysis: Real World Applications, 2012
- Bogdanov–Takens bifurcation in a single inertial neuron model with delayNeurocomputing, 2012
- A New Sufficient Condition for Global Robust Stability of Delayed Neural NetworksNeural Processing Letters, 2011
- Delay-Dependent Stability Analysis for Switched Neural Networks With Time-Varying DelayIEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2011