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Green Energy and Technology

Modeling, Identification and Control Methods in Renewable Energy Systems

Editors: Derbel, Nabil, Zhu, Quanmin (Eds.)

  • Presents the latest research from interdisciplinary theoretical studies, computational algorithm development to exemplary applications
  • Illustrates how control principles and methods are used in renewable energy systems
  • Selected and extended papers presented at the 14th International Multi-Conference on Systems, Signals & Devices (SSD), March 28 - 31, 2017, Marrakech, Morocco
  • Covers relevant studies and applications of renewable energies
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Buy this book

eBook $119.00
price for USA in USD (gross)
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: November 17, 2018
  • ISBN 978-981-13-1945-7
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $159.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: January 10, 2019
  • ISBN 978-981-13-1944-0
  • Free shipping for individuals worldwide
About this book

Most of the research and experiments in the fields of modeling and control systems have spent significant efforts to find rules from various complicated phenomena by principles, observations, measured data, logic derivations. The rules are normally summarized as concise and quantitative expressions or “models”. “Identification” provides mechanisms to establish the models and “control” provides mechanisms to improve system performances.

This book reflects the relevant studies and applications in the area of renewable energies, with the latest research from interdisciplinary theoretical studies, computational algorithm development to exemplary applications. It discusses how modeling and control methods such as recurrent neural network, Pitch Angle Control, Fuzzy control, Sliding Mode Control and others are used in renewable systems. It covers topics as photovoltaic systems, wind turbines, maximum power point tracking, batteries for renewable energies, solar energy, thermal energy and so on. This book is edited and written by leading experts in the field and offers an ideal reference guide for researchers and engineers in the fields of electrical/electronic engineering, control system and energy.

About the authors

Nabil Derbel is Professor in Control Systems Theory at the Electrical Engineering Department of The "National Engineering School of Sfax", University of Sfax, Tunisia. He received his engineering Diploma from the "Ecole Nationale d'Ingénieurs de Sfax" in 1986, the "Diplôme d'Etudes Approfondies" in Automatic control from the "Institut National des Sciences Appliquées de Toulouse" in 1986, the "Doctorat d'Université" degree from the "Laboratoire d'Automatique et d'Analyse des Systèmes de Toulouse" in 1989, and the "Doctorat d'Etat" degree from the" Ecole Nationale d'Ingénieurs de Tunis". His current interests include: Optimal Control, Sliding Mode Control, Complex Systems, Fuzzy Logic, Neural Networks. He is the author and the co-author of more than 80 papers published in international Journals and of more than 500 papers published in international conferences. Currently, Professor Derbel is associate editor of International Journal of Modeling, Identification and Control, the editor of International Journal of Digital Signals and Smart Systems, and co-editor (and co-founder) of Transactions on Systems, Signals & Devices, an International Journal, which has been renamed in 2017 as Advances in Systems, Signals & Devices. He has edited a book for Springer entitled "Applications of sliding mode control", in 2017.

Quanmin Zhu is Professor in control systems at Department of Engineering Design and Mathematics, University of the West of England, Bristol, UK. He obtained his MSc. in Harbin Institute of Technology, China in 1983 and PhD in Faculty of Engineering, University of Warwick, UK in 1989. His main research interest is in the area of nonlinear system modelling, identification, and control. He has published over 160 papers on these topics and provided consultancy to various industries. Currently Professor Zhu is acting as member of editorial board of International Journal of Systems Science, member of editorial board of Chinese Journal of Scientific Instrument, editor (and founder) of International Journal of Modelling, Identification and Control, and editor of International Journal of Computer Applications in Technology.

Buy this book

eBook $119.00
price for USA in USD (gross)
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: November 17, 2018
  • ISBN 978-981-13-1945-7
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $159.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: January 10, 2019
  • ISBN 978-981-13-1944-0
  • Free shipping for individuals worldwide
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Bibliographic Information

Bibliographic Information
Book Title
Modeling, Identification and Control Methods in Renewable Energy Systems
Editors
  • Nabil Derbel
  • Quanmin Zhu
Series Title
Green Energy and Technology
Copyright
2019
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-13-1945-7
DOI
10.1007/978-981-13-1945-7
Hardcover ISBN
978-981-13-1944-0
Series ISSN
1865-3529
Edition Number
1
Number of Pages
XX, 380
Number of Illustrations and Tables
99 b/w illustrations, 213 illustrations in colour
Topics