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My new book Sparsity Methods for Systems and Control has been published!
This is an open access book, so you can download pdf from here for free!
Slides and lecture videos are also available at this page.
Definitely this book will be interesting to broad control, mathematics, and engineering communities. The author should definitely try to expand the book to include sparse control problems in their full generality.
Aleksandar Haber, The City University of New York, USA.
The writing style is live and easy to follow. In particular, I like very much the examples, problems, and Matlab simulations with actual code segments that are included in the first chapters. The proposal is timely and the topic of sparsity in control is very broad. In addition, to the systems and control community, I expect it will appeal to the machine learning community.
Ivan Markovsky, Vrije Universiteit Brussels, Belgium.
Masaaki Nagahara received the bachelor's degree in engineering from Kobe University in 1998, and the master's degree and the Doctoral degree in informatics from Kyoto University in 2000 and 2003, respectively.
He is currently a Full Professor with the Institute of Environmental Science and Technology, The University of Kitakyushu. He has been a Visiting Professor with Indian Institute of Technology Bombay since 2017. His research interests include control theory, machine learning, and sparse modeling.
He received Transition to Practice Award in 2012 and George S. Axelby Outstanding Paper Award in 2018 from IEEE Control Systems Society. He also received Young Authors Award in 1999, Best Paper Award in 2012, and Best Book Authors Award in 2016, from SICE, and Best Tutorial Paper Award in 2014 from IEICE Communications Society.
He is a senior member of IEEE, and a member of IEICE, SICE, ISCIE, and JSME.