Fractional Order PID Control Law for Trajectory Tracking Using Fractional Order Time-Delay Recurrent Neural Networks for Fractional Order Complex Dynamical Systems.
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%0 Journal Article
%1 journals/cys/PadronPPF19
%A Padron, Joel Perez
%A Pérez, José P.
%A P., Ruben Perez
%A Flores, Angel
%D 2019
%J Computación y Sistemas
%K dblp
%N 4
%T Fractional Order PID Control Law for Trajectory Tracking Using Fractional Order Time-Delay Recurrent Neural Networks for Fractional Order Complex Dynamical Systems.
%U http://dblp.uni-trier.de/db/journals/cys/cys23.html#PadronPPF19
%V 23
@article{journals/cys/PadronPPF19,
added-at = {2022-06-23T00:00:00.000+0200},
author = {Padron, Joel Perez and Pérez, José P. and P., Ruben Perez and Flores, Angel},
biburl = {https://www.bibsonomy.org/bibtex/2308fcfebd4a36c3512063a06ac6cceeb/dblp},
ee = {https://doi.org/10.13053/cys-23-4-2754},
interhash = {8284855e99de75f614cdbcafdd7da2a7},
intrahash = {308fcfebd4a36c3512063a06ac6cceeb},
journal = {Computación y Sistemas},
keywords = {dblp},
number = 4,
timestamp = {2024-04-08T19:03:25.000+0200},
title = {Fractional Order PID Control Law for Trajectory Tracking Using Fractional Order Time-Delay Recurrent Neural Networks for Fractional Order Complex Dynamical Systems.},
url = {http://dblp.uni-trier.de/db/journals/cys/cys23.html#PadronPPF19},
volume = 23,
year = 2019
}
