New Criteria for Global Robust Stability of Delayed Neural Networks With Norm-Bounded Uncertainties
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: 2014شناسه الکترونیک: 10.1109/TNNLS.2013.2287279
کلیدواژه(گان): Lyapunov methods,asymptotic stability,computational complexity,delays,discrete systems,matrix algebra,neural nets,Lyapunov stability theory,continuous activation functions,delayed neural networks,discrete time delays,equilibrium point,global asymptotic robust stability,homeomorphic mapping theorem,low computational complexity,network parameter uncertainty sets,norm-bounded uncertainties,slope-bounded activation functions,sufficient conditions,symmetric matrices,Asymptotic sta
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New Criteria for Global Robust Stability of Delayed Neural Networks With Norm-Bounded Uncertainties
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contributor author | Arik, Sabri | |
date accessioned | 2020-03-12T18:31:15Z | |
date available | 2020-03-12T18:31:15Z | |
date issued | 2014 | |
identifier issn | 2162-237X | |
identifier other | 6650046.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/961252 | |
format | general | |
language | English | |
publisher | IEEE | |
title | New Criteria for Global Robust Stability of Delayed Neural Networks With Norm-Bounded Uncertainties | |
type | Journal Paper | |
contenttype | Metadata Only | |
identifier padid | 7994018 | |
subject keywords | Lyapunov methods | |
subject keywords | asymptotic stability | |
subject keywords | computational complexity | |
subject keywords | delays | |
subject keywords | discrete systems | |
subject keywords | matrix algebra | |
subject keywords | neural nets | |
subject keywords | Lyapunov stability theory | |
subject keywords | continuous activation functions | |
subject keywords | delayed neural networks | |
subject keywords | discrete time delays | |
subject keywords | equilibrium point | |
subject keywords | global asymptotic robust stability | |
subject keywords | homeomorphic mapping theorem | |
subject keywords | low computational complexity | |
subject keywords | network parameter uncertainty sets | |
subject keywords | norm-bounded uncertainties | |
subject keywords | slope-bounded activation functions | |
subject keywords | sufficient conditions | |
subject keywords | symmetric matrices | |
subject keywords | Asymptotic sta | |
identifier doi | 10.1109/TNNLS.2013.2287279 | |
journal title | Neural Networks and Learning Systems, IEEE Transactions on | |
journal volume | 25 | |
journal issue | 6 | |
filesize | 241806 | |
citations | 0 |