A Course on Optimal Control A Course on Optimal Control
    • 39,99 $

От издателя

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.

ЖАНР
Наука и природа
РЕЛИЗ
2024
17 января
ЯЗЫК
EN
английский
ОБЪЕМ
286
стр.
ИЗДАТЕЛЬ
Springer Nature Switzerland
ПРОДАВЕЦ
Springer Nature B.V.
РАЗМЕР
33,6
МБ
Algebra for Cryptologists Algebra for Cryptologists
2016
An Introduction to Mathematical Finance with Applications An Introduction to Mathematical Finance with Applications
2016
Calculus with Vectors Calculus with Vectors
2014
Abstract Algebra Abstract Algebra
2014
Differential Equations Differential Equations
2017
Application-Inspired Linear Algebra Application-Inspired Linear Algebra
2022