State estimation of Markov jump neural networks with random delays by redundant channels
Authors:
- 1 September 2021
- journal article
- research article
- Published by Elsevier in Neurocomputing
- Vol. 453, 493-501
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China
- Natural Science Foundation of Zhejiang Province
This publication has 40 references indexed in Scilit:
- state estimation for discrete-time neural networks with interval time-varying delays and probabilistic diverging disturbancesNeurocomputing, 2015
- Robust reliable H∞ control for stochastic neural networks with randomly occurring delaysNeurocomputing, 2015
- State estimation for complex networks with randomly occurring coupling delaysNeurocomputing, 2013
- Stochastic state estimation for neural networks with distributed delays and Markovian jumpNeural Networks, 2012
- Delay-distribution-dependent state estimation for discrete-time stochastic neural networks with random delayNeural Networks, 2011
- Delay-range-dependent exponential H∞ synchronization of a class of delayed neural networksChaos, Solitons & Fractals, 2009
- State estimation for discrete-time Markovian jumping neural networks with mixed mode-dependent delaysPhysics Letters A, 2008
- Exponential stability of delayed recurrent neural networks with Markovian jumping parametersPhysics Letters A, 2006
- State Estimation for Delayed Neural NetworksIEEE Transactions on Neural Networks, 2005
- Markovian Architectural Bias of Recurrent Neural NetworksIEEE Transactions on Neural Networks, 2004