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oapen-20.500.12657-478732021-04-21T07:29:47Z Sparsity Methods for Systems and Control Nagahara, Masaaki Compressed sensing, optimal control, sparse representation, convex optimization, proximal algorithms, greedy algorithms, networked control, model predictive control bic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence 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. 2021-04-20T08:10:05Z 2021-04-20T08:10:05Z 2020 book ONIX_20210420_9781680837254_5 9781680837254 9781680837247 https://library.oapen.org/handle/20.500.12657/47873 eng NowOpen application/pdf Attribution-NonCommercial 4.0 International 9781680837254.pdf Now Publishers Now Publishers 10.1561/9781680837254 10.1561/9781680837254 13f74cc9-b7cd-4eb0-8f5f-900c90afdd9f 9781680837254 9781680837247 Now Publishers 222 Norwell, MA open access
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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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