Sparsity methods for systems and control / / Masaaki Nagahara.
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...
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Place / Publishing House: | Norwell, Massachusetts : : Now Publishers,, [2020] ©2020 |
Year of Publication: | 2020 |
Language: | English |
Series: | NowOpen in technology
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Physical Description: | 1 online resource (xvii, 241 pages) :; illustrations. |
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Table of Contents:
- 1. Introduction
- Part I: Sparse Representation for Vectors
- 2. What is Sparsity?
- 3. Curve Fitting and Sparse Optimization
- 4. Algorithms for Convex Optimization
- 5. Greedy Algorithms
- 6. Applications of Sparse Representation
- Part II: Sparsity Methods in Optimal Control
- 7. Dynamical Systems and Optimal Control
- 8. Maximum Hands-off Control
- 9. Numerical Optimization by Time Discretization
- 10. Advanced Topics.