Modeling, Identification and Control Methods in Renewable Energy Systems (Green Energy and Technology) - Tapa dura

Libro 233 de 432: Green Energy and Technology
 
9789811319440: Modeling, Identification and Control Methods in Renewable Energy Systems (Green Energy and Technology)
Tapa dura
ISBN 10: 9811319448 ISBN 13: 9789811319440
Editorial: Springer, 2019

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

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 ofInternational 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.

De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2019
Idioma
Inglés
ISBN 10 
9811319448
ISBN 13 
9789811319440
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
382
Editor
Derbel Nabil, Zhu Quanmin
Contacto del fabricante
ProductSafety@springernature.com
ProductSafety@springernature.com

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