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Turnpike Phenomenon in Metric Spaces

  • Book
  • © 2023

Overview

  • Turnpike theory for dynamical systems in metric spaces with a Lyapunov function is developed
  • Turnpike theory for discrete-time optimal control problems in metric spaces is developed
  • Turnpike theory for continuous-time optimal control problems in metric spaces is developed

Part of the book series: Springer Optimization and Its Applications (SOIA, volume 201)

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  • 3 Citations

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About this book

This book is devoted to the study of the turnpike phenomenon arising in optimal control theory. Special focus is placed on Turnpike results, in sufficient and necessary conditions for the turnpike phenomenon and in its stability under small perturbations of objective functions. The most important feature of this book is that it develops a large, general class of optimal control problems in metric space. Additional value is in the provision of solutions to a number of difficult and interesting problems in optimal control theory in metric spaces. Mathematicians working in optimal control, optimization, and experts in applications of optimal control to economics and engineering, will find this book particularly useful.

All main results obtained in the book are new. The monograph contains nine chapters. Chapter 1 is an introduction. Chapter 2 discusses Banach space valued functions, set-valued mappings in infinite dimensional spaces, and related continuous-time dynamical systems. Some convergence results are obtained. In Chapter 3, a discrete-time dynamical system with a Lyapunov function in a metric space induced by a set-valued mapping, is studied. Chapter 4 is devoted to the study of a class of continuous-time dynamical systems, an analog of the class of discrete-time dynamical systems considered in Chapter 3. Chapter 5 develops a turnpike theory for a class of general dynamical systems in a metric space with a Lyapunov function. Chapter 6 contains a study of the turnpike phenomenon for discrete-time nonautonomous problems on subintervals of half-axis in metric spaces, which are not necessarily compact. Chapter 7 contains preliminaries which are needed in order to study turnpike properties of infinite-dimensional optimal control problems. In Chapter 8, sufficient and necessary conditions for the turnpike phenomenon for continuous-time optimal control problems on subintervals of the half-axis in metric spaces, is established. In Chapter 9, the examination continues of the turnpike phenomenon for the continuous-time optimal control problems on subintervals of half-axis in metric spaces discussed in Chapter 8.


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Table of contents (9 chapters)

Reviews

“This book is a list of results, almost entirely due to the author, about existence of the turnpike phenomenon in some scalar optimisation problems. … Under suitable conditions, the existence of the turnpike property is proved for the simplest one-dimensional problem of the calculus of variations … . stability and genericity results are included. Proofs are presented in complete detail.” (Tullio Zolezzi, zbMATH 1530.49002, 2024)

Authors and Affiliations

  • Haifa, Israel

    Alexander J. Zaslavski

About the author

Alexander J. Zaslavski, Department of Mathematics, Technion – Israel Institute of Technology, Rishon LeZion, Israel.

Bibliographic Information

  • Book Title: Turnpike Phenomenon in Metric Spaces

  • Authors: Alexander J. Zaslavski

  • Series Title: Springer Optimization and Its Applications

  • DOI: https://doi.org/10.1007/978-3-031-27208-0

  • Publisher: Springer Cham

  • eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Hardcover ISBN: 978-3-031-27207-3Published: 18 April 2023

  • Softcover ISBN: 978-3-031-27210-3Published: 19 April 2024

  • eBook ISBN: 978-3-031-27208-0Published: 17 April 2023

  • Series ISSN: 1931-6828

  • Series E-ISSN: 1931-6836

  • Edition Number: 1

  • Number of Pages: X, 362

  • Topics: Optimization, Systems Theory, Control

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