A Variational Approach to Optimal Control of ODEs
Seiten
2022
Society for Industrial & Applied Mathematics,U.S. (Verlag)
978-1-61197-710-3 (ISBN)
Society for Industrial & Applied Mathematics,U.S. (Verlag)
978-1-61197-710-3 (ISBN)
Adopting a variational approach, this self-contained textbook presents the basic principles of optimal control governed by ODEs. It can be used in courses on Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory.
Adopting a variational approach, this self-contained textbook presents the basic principles of optimal control governed by ODEs. Inside, readers will encounter
the fundamental issues of existence of optimal solutions, optimality conditions, and numerical approximation from a variational perspective,
academic and real-world examples testing the book's variational approach, and
a unified treatment that requires no prior expertise in variational problems or numerical approximation.
A Variational Approach to Optimal Control of ODEs is for applied analysts, applied mathematicians, and control engineers. It can be used in courses on Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory.
Adopting a variational approach, this self-contained textbook presents the basic principles of optimal control governed by ODEs. Inside, readers will encounter
the fundamental issues of existence of optimal solutions, optimality conditions, and numerical approximation from a variational perspective,
academic and real-world examples testing the book's variational approach, and
a unified treatment that requires no prior expertise in variational problems or numerical approximation.
A Variational Approach to Optimal Control of ODEs is for applied analysts, applied mathematicians, and control engineers. It can be used in courses on Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory.
Pablo Pedregal is Professor of Applied Mathematics at Universidad de Castilla-La Mancha in Spain. He has written more than one hundred scientific articles, and several technical books. His research is focused on variational techniques applied to optimization problems in areas like calculus of variations, optimal control, optimal design in continuous media, non-linear elasticity, or inverse problems.
| Erscheinungsdatum | 01.07.2022 |
|---|---|
| Reihe/Serie | Advances in Design and Control |
| Verlagsort | New York |
| Sprache | englisch |
| Gewicht | 220 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Analysis |
| Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
| Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
| ISBN-10 | 1-61197-710-X / 161197710X |
| ISBN-13 | 978-1-61197-710-3 / 9781611977103 |
| Zustand | Neuware |
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