Operator Splitting Methods in Control
Seiten
2016
now publishers Inc (Verlag)
978-1-68083-174-0 (ISBN)
now publishers Inc (Verlag)
978-1-68083-174-0 (ISBN)
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Focuses on systems with linear dynamics, giving rise to convex control problems. This book provides a comprehensive survey of a family of first order methods known as decomposition schemes or operator splitting methods and shows the behaviour of such algorithms as solvers of control related convex problems from tens to a few hundreds of variables.
The significant progress that has been made in recent years both in hardware implementations and in numerical computing has rendered real-time optimization-based control a viable option when it comes to advanced industrial applications. More recently, the need for control of a process in the presence of a limited amount of hardware resources has triggered research in the direction of embedded optimization-based control.
Operator Splitting Methods in Control focuses on systems with linear dynamics, giving rise to convex control problems. It provides a comprehensive survey of a family of first order methods known as decomposition schemes or operator splitting methods and shows the behavior of such algorithms as solvers of control related convex problems from tens to a few hundreds of variables. This compact survey gives the reader a state-of-the-art overview of the topic with examples of applications in aerospace and building control.
The significant progress that has been made in recent years both in hardware implementations and in numerical computing has rendered real-time optimization-based control a viable option when it comes to advanced industrial applications. More recently, the need for control of a process in the presence of a limited amount of hardware resources has triggered research in the direction of embedded optimization-based control.
Operator Splitting Methods in Control focuses on systems with linear dynamics, giving rise to convex control problems. It provides a comprehensive survey of a family of first order methods known as decomposition schemes or operator splitting methods and shows the behavior of such algorithms as solvers of control related convex problems from tens to a few hundreds of variables. This compact survey gives the reader a state-of-the-art overview of the topic with examples of applications in aerospace and building control.
1. Introduction.
2. The Algorithms.
3. Convergence Results and Accelerated Variants.
4. Stepsize Selection and Preconditioning.
5. Numerical Linear Algebra.
6. Examples.
7. Summary
References
| Erscheinungsdatum | 28.08.2016 |
|---|---|
| Reihe/Serie | Foundations and Trends® in Systems and Control |
| Verlagsort | Hanover |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 202 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Angewandte Mathematik |
| Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
| Technik | |
| ISBN-10 | 1-68083-174-7 / 1680831747 |
| ISBN-13 | 978-1-68083-174-0 / 9781680831740 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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