Table of Contents Author Guidelines Submit a Manuscript
International Journal of Photoenergy
Volume 2016 (2016), Article ID 5214061, 16 pages
http://dx.doi.org/10.1155/2016/5214061
Research Article

Sliding Mode Real-Time Control of Photovoltaic Systems Using Neural Estimators

1Electrical Engineering Department, Faculty of Engineering Vitoria-Gasteiz, University of the Basque Country, Nieves Cano 12, 01006 Vitoria-Gasteiz, Spain
2Systems Engineering and Automatic Control Department, Faculty of Engineering Vitoria-Gasteiz, University of the Basque Country, Nieves Cano 12, 01006 Vitoria-Gasteiz, Spain
3Electrical Engineering Department, Faculty of Engineering, University of the Basque Country, Alameda Urquijo, s/n, 48013 Bilbao, Spain
4Department of Electrical, Electronics and Communications Engineering, American University of Ras Al Khaimah, Sheikh Saqr Bin Khalid Rd., Ras Al Khaimah, UAE

Received 15 April 2016; Revised 13 June 2016; Accepted 28 June 2016

Academic Editor: Prakash Basnyat

Copyright © 2016 J. A. Ramos-Hernanz et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

J. A. Ramos-Hernanz, O. Barambones, J. M. Lopez-Guede, I. Zamora, P. Eguia, and M. Farhat, “Sliding Mode Real-Time Control of Photovoltaic Systems Using Neural Estimators,” International Journal of Photoenergy, vol. 2016, Article ID 5214061, 16 pages, 2016. doi:10.1155/2016/5214061