Delay-partitioning approach to stability analysis of state estimation for neutral-type neural networks with both time-varying delays and leakage term via sampled-data control.
Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Journal Article
%1 journals/ijsysc/SamiduraiRCAAA17
%A Samidurai, Rajendran
%A Rajavel, S.
%A Cao, Jinde
%A Alsaedi, Ahmad
%A Alsaadi, Fuad E.
%A Ahmad, Bashir
%D 2017
%J Int. J. Systems Science
%K dblp
%N 8
%P 1752-1765
%T Delay-partitioning approach to stability analysis of state estimation for neutral-type neural networks with both time-varying delays and leakage term via sampled-data control.
%U http://dblp.uni-trier.de/db/journals/ijsysc/ijsysc48.html#SamiduraiRCAAA17
%V 48
@article{journals/ijsysc/SamiduraiRCAAA17,
added-at = {2018-11-02T00:00:00.000+0100},
author = {Samidurai, Rajendran and Rajavel, S. and Cao, Jinde and Alsaedi, Ahmad and Alsaadi, Fuad E. and Ahmad, Bashir},
biburl = {https://www.bibsonomy.org/bibtex/2d2d277fe563dcc089aa2e9bcd7424752/dblp},
ee = {https://doi.org/10.1080/00207721.2017.1282060},
interhash = {d29a890398fece0a72b37fe3a6829d22},
intrahash = {d2d277fe563dcc089aa2e9bcd7424752},
journal = {Int. J. Systems Science},
keywords = {dblp},
number = 8,
pages = {1752-1765},
timestamp = {2018-11-03T12:39:22.000+0100},
title = {Delay-partitioning approach to stability analysis of state estimation for neutral-type neural networks with both time-varying delays and leakage term via sampled-data control.},
url = {http://dblp.uni-trier.de/db/journals/ijsysc/ijsysc48.html#SamiduraiRCAAA17},
volume = 48,
year = 2017
}
