An Introduction to Optimal Control Theory

by Aaron Strauss

Overview

This paper is intended for the beginner. It is not a state­ of-the-art paper for research workers in the field of control theory. Its purpose is to introduce the reader to some of the problems and results in control theory, to illustrate the application of these re­ sults, and to provide a guide for his further reading on this subject. I have tried to motivate the results with examples, especial­ ly with one canonical, simple example described in §3. Many results, such as the maximum principle, have long and difficult proofs. I have omitted these proofs. In general I have included only the proofs which are either (1) not too difficult or (2) fairly enlightening as to the nature of the result. I have, however, usually attempted to draw the strongest conclusion from a given proof. For example, many existing proofs in control theory for compact targets and uniqueness of solutions also hold for closed targets and non-uniqueness. Finally, at the end of each section I have given references to generalizations and origins of the results discussed in that section. I make no claim of completeness in the references, however, as I have often been content merely to refer the reader either to an exposition or to a paper which has an extensive bibliography. IV These 1ecture notes are revisions of notes I used for aseries of nine 1ectures on contro1 theory at the International Summer Schoo1 on Mathematica1 Systems and Economics held in Varenna, Ita1y, June 1967.

Product Details

ISBN-13:	9783540042525
Publisher:	Springer Berlin Heidelberg
Publication date:	01/01/1968
Series:	Lecture Notes in Economics and Mathematical Systems , #3
Edition description:	Softcover reprint of the original 1st ed. 1968
Pages:	154
Product dimensions:	8.27(w) x 10.98(h) x 0.01(d)

Table of Contents

1. Introduction.- 2. Control Problem.- Notation and definitions, motivation of later results.- 3. Railroad Train Example.- Motivation of a “bang-bang principle,” the time optimal and minimum fuel problems.- 4. Controllability.- Restricted and unrestricted control, the controllability matrix.- 5. Controllability Using Special Controls.- Piecewise constant controls and bang-bang controls.- 6. Linear Time Optimal Systems.- Existence, necessary conditions, extremal control, reachable cone, normal systems and bang-bang controls, application to synthesis of railroad train example.- 7. General Control Systems: Existence.- Motivation behind existence results, two existence theorems and extensions, examples.- 8. General Control Systems: Necessary Conditions.- Principle of Optimality, Pontryagin maximum principle, transversality conditions, application to synthesis of railroad train example.- 9. Further Topics.- References.- List of Symbols.- Index for Definitions.