An improved maximum power point tracking control approach for photovoltaic systems based on model predictive control with a condition-triggered strategy.
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%0 Journal Article
%1 journals/jsce/ZhaoYFF16
%A Zhao, Xilin
%A Yin, Lijuan
%A Fu, Bo
%A Fang, Na
%D 2016
%J J. Syst. Control. Eng.
%K dblp
%N 3
%P 277-288
%T An improved maximum power point tracking control approach for photovoltaic systems based on model predictive control with a condition-triggered strategy.
%U http://dblp.uni-trier.de/db/journals/jsce/jsce230.html#ZhaoYFF16
%V 230
@article{journals/jsce/ZhaoYFF16,
added-at = {2020-09-18T00:00:00.000+0200},
author = {Zhao, Xilin and Yin, Lijuan and Fu, Bo and Fang, Na},
biburl = {https://www.bibsonomy.org/bibtex/2f9eefe70d1a9da0aceb7c02fbc4e90e2/dblp},
ee = {https://doi.org/10.1177/0959651815621834},
interhash = {04971ec72509a9232d972592b0d51d73},
intrahash = {f9eefe70d1a9da0aceb7c02fbc4e90e2},
journal = {J. Syst. Control. Eng.},
keywords = {dblp},
number = 3,
pages = {277-288},
timestamp = {2020-09-19T11:44:10.000+0200},
title = {An improved maximum power point tracking control approach for photovoltaic systems based on model predictive control with a condition-triggered strategy.},
url = {http://dblp.uni-trier.de/db/journals/jsce/jsce230.html#ZhaoYFF16},
volume = 230,
year = 2016
}
