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2023 | Buch

A Course on Optimal Control

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This text provides a detailed and self-contained introduction to the core topics of optimal control for finite-dimensional deterministic dynamical systems. Skillfully designed to guide the student through the development of the subject, the book provides a rich collection of examples, exercises, illustrations, and applications, to support comprehension of the material. Solutions to odd-numbered exercises are included, while a complete set of solutions is available to instructors who adopt the text for their class. The book is adaptable to coursework for final year undergraduates in (applied) mathematics or beginning graduate students in engineering. Required mathematical background includes calculus, linear algebra, a basic knowledge of differential equations, as well as a rudimentary acquaintance with control systems.

The book has developed out of lecture notes that were tested, adapted, and expanded over many years of teaching. Chapters 1-4 constitute the material for a basic course on optimal control, covering successively the calculus of variations, minimum principle, dynamic programming, and linear quadratic control. The additional Chapter 5 provides brief views to a number of selected topics related to optimal control, which are meant to peak the reader’s interest. Some mathematical background is summarized in Appendix A for easy review. Appendix B recalls some of the basics of differential equations and also provides a detailed treatment of Lyapunov stability theory including LaSalle’s invariance principle, as occasionally used in Chapters 3 and 4.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Calculus of Variations
Abstract
Optimal control theory is deeply rooted in the classical mathematical subject referred to as the calculus of variations; the name of which seems to go back to the famous mathematician Leonhard Euler (1707–1783). Calculus of variations deals with minimization of expressions of the form.
Gjerrit Meinsma, Arjan van der Schaft
Chapter 2. Minimum Principle
Abstract
In the solar challenge problem (Exercise 1.14) we assumed, we could choose the speed \(\dot{{{} \texttt {x}}}\) of the car at will, but in reality, the speed is limited by the dynamics of the car. For instance, the acceleration of the car is bounded. In this chapter, we take these dynamical constraints into account.
Gjerrit Meinsma, Arjan van der Schaft
Chapter 3. Dynamic Programming
Abstract
The minimum principle was developed in the Soviet Union in the late fifties of the previous century.
Gjerrit Meinsma, Arjan van der Schaft
Chapter 4. Linear Quadratic Control
Abstract
Optimal control theory took shape in the late 1950s, among others stimulated by the space programs in the Soviet Union and the USA. At about the same time there was a clear paradigm shift in control theory. Till about 1960 the transfer function was the de-facto standard representation of linear time-invariant dynamical systems with inputs and outputs. This changed in the sixties when Kalman (and others) advocated the use of state space representations. These developments are not unrelated since optimal control theory is based on the representation of dynamical systems by systems of differential equations, i.e., state space models. Furthermore, the introduction of the Kalman-Bucy filter in the early 1960s, again based on state representations and replacing the Wiener filter, contributed to the rise of state space representations.
Gjerrit Meinsma, Arjan van der Schaft
Chapter 5. Glimpses of Related Topics
Abstract
This chapter provides an outlook on a number of (rather arbitrarily chosen) topics that are related to the main contents of this book. These brief glimpses are meant to raise interest and are written in a style that is different from the rest of the book. Each section is concluded with a few key references, which offer an entrance to the literature for further study.
Gjerrit Meinsma, Arjan van der Schaft
Backmatter
Metadaten
Titel
A Course on Optimal Control
verfasst von
Gjerrit Meinsma
Arjan van der Schaft
Copyright-Jahr
2023
Electronic ISBN
978-3-031-36655-0
Print ISBN
978-3-031-36654-3
DOI
https://doi.org/10.1007/978-3-031-36655-0

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