Nonconvex optimal control and variational problems
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Author
Publication
2013 - Springer, New York, NY, New York (State)
Language
English
Word Count
94,500 words, Guess
Page Count
378 pages
Identifiers
- Open LibraryOL31012288M
- ISBN-139781461473770
- ISBN-101461473772
- OCLC Control Number830367423
- OCLC Control Number849904649
and 1 more
- Library of Congress Control Number2013938487
Classifications
- DDC519.6
- LCCQA402.5 .Z368 2013
Description
Nonconvex Optimal Control and Variational Problems is an important contribution to the existing literature in the field and is devoted to the presentation of progress made in the last 15 years of research in the area of optimal control and the calculus of variations. This volume contains a number of results concerning well-posedness of optimal control and variational problems, nonoccurrence of the Lavrentiev phenomenon for optimal control and variational problems, and turnpike properties of approximate solutions of variational problems. Chapter 1 contains an introduction as well as examples of select topics. Chapters 2-5 consider the well-posedness condition using fine tools of general topology and porosity. Chapters 6-8 are devoted to the nonoccurrence of the Lavrentiev phenomenon and contain original results. Chapter 9 focuses on infinite-dimensional linear control problems, and Chapter 10 deals with "good" functions and explores new understandings on the questions of optimality and variational problems. Finally, Chapters 11-12 are centered around the turnpike property, a particular area of expertise for the author.This volume is intended for mathematicians, engineers, and scientists interested in the calculus of variations, optimal control, optimization, and applied functional analysis, as well as both undergraduate and graduate students specializing in those areas. The text devoted to Turnpike properties may be of particular interest to the economics community --
Subjects
Topics
Series Statement
- Springer optimization and its applications -- v. 82
Other Editions
- Nonconvex optimal control and variational problems
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