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Nonlinear Optimal Control and Differential Flatness for Renewable Energy Systems and Evs in the Smart Grid

Contributor(s): Rigatos, Gerasimos (Author), Abbaszadeh, Masoud (Author), Siano, Pierluigi (Author), Zribi, Mohamed (Author)

ISBN: 9780443451010

Publisher: Elsevier

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Pub Date: February 1, 2027

Lexile Code: 0000

Target Age Group: NA to NA

Physical Info: 0.00" H x 0.00" L x 0.00" W ( 0.99 lbs) 350 pages

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Description:

Nonlinear Optimal Control and Differential Flatness for Renewable Energy Systems and EVs in the Smart Grid covers nonlinear control and estimation for electric power systems, electric vehicles, and the smart grid. The control and estimation methods presented are characterized by global stability and convergence proofs, which means that the function of renewable electric power systems and electric vehicles presented will be of assured performance and it can be ascertained that it will remain reliable under variable operating conditions.

In particular, this new monograph deals with the open research issues and challenges of nonlinear control based on approximate linearization and on global linearization of the associated state-space models. It also successfully addresses the quest for specialized knowledge in renewable electric power systems and in electric vehicles traction systems, bringing new findings in two areas: Firstly, nonlinear control for electric machines (synchronous and asynchronous) with application in the exploitation of renewable energy sources and in the traction system of electric vehicles, and secondly, nonlinear control of power electronics which are used for the connection of renewable energy sources to the electricity grid and for the powertrains of electric vehicles (control of AC to DC converters, control of inverters).

This book is of interest to researchers, graduate students, faculty, engineers, and other technical personnel working on control problems and estimation methods, renewable energy systems, electric vehicles, and smart grid technologies.

Brief description:

Dr. Gerasimos Rigatos is currently a Research Director (Researcher Grade A') at the Industrial Systems Institute, Greece. He obtained his Ph.D. from the National Technical University of Athens (NTUA), Greece, in 2000, and was subsequently a post-doctoral researcher at IRISA-INRIA, Rennes, France. He is a Senior Member of IEEE, and a Member and CEng of IET. Dr. Rigatos has led several research cooperation agreements and projects with accredited results in the areas of nonlinear control, nonlinear filtering, and control of distributed parameter systems, and his results appear in 12 research monographs and in several journal articles. He is first author of 150 journal articles, receiving over 3,400 citations (Scopus), and is an Editor of the Journal of Information Sciences, the Journal of Advanced Robotic Systems, the SAE Journal of Electrified Vehicles, and the Journal of Power Electronics and Drives. He has held visiting professor positions at several universities in Europe.

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