Sparsity Methods for Systems and Control (NowOpen) - Hardcover

Masaaki Nagahara (author)

 
9781680837247: Sparsity Methods for Systems and Control (NowOpen)
Hardcover
ISBN 10: 1680837249 ISBN 13: 9781680837247
Publisher: Now Publishers, 2020

Synopsis

The ebook edition of this title is Open Access and freely available to read online.

The method of sparsity has been attracting a lot of attention in the fields related not only to signal processing, machine learning, and statistics, but also systems and control. The method is known as compressed sensing, compressive sampling, sparse representation, or sparse modeling. More recently, the sparsity method has been applied to systems and control to design resource-aware control systems. This book gives a comprehensive guide to sparsity methods for systems and control, from standard sparsity methods in finite-dimensional vector spaces (Part I) to optimal control methods in infinite-dimensional function spaces (Part II).

The primary objective of this book is to show how to use sparsity methods for several engineering problems. For this, the author provides MATLAB programs by which the reader can try sparsity methods for themselves. Readers will obtain a deep understanding of sparsity methods by running these MATLAB programs.

Sparsity Methods for Systems and Control is suitable for graduate level university courses, though it should also be comprehendible to undergraduate students who have a basic knowledge of linear algebra and elementary calculus. Also, especially part II of the book should appeal to professional researchers and engineers who are interested in applying sparsity methods to systems and control.

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About the Author

Dr. Masaaki Nagahara is currently a full professor at Institute of Environmental Science and Technology, University of Kitakyushu, Japan. He is also a visiting professor at Indian Institute of Technology (IIT) Bombay, India, from 2017. His research interests include optimal control, cyber-physical systems, artificial intelligence, signal processing, and machine learning. He received Transition to Practice Award from IEEE Control Systems Society in 2012. He is a Senior Member of IEEE.

"About this title" may belong to another edition of this title.

Publisher
Now Publishers
Publication date
2020
Language
English
ISBN 10 
1680837249
ISBN 13 
9781680837247
Binding
Hardcover
Number of pages
220