Primer on optimal control theory
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Primer on optimal control theory by Jason Lee Speyer

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Published by Society for Industrial and Applied Mathematics in Philadelphia .
Written in English

Book details:

Edition Notes

Includes bibliographical references and index.

StatementJason L. Speyer, David H. Jacobson
ContributionsJacobson, David H.
LC ClassificationsQA402.3 .S7426 2010
The Physical Object
Paginationp. cm.
ID Numbers
Open LibraryOL24489262M
ISBN 109780898716948
LC Control Number2009047920

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An Introduction to Optimal Control Ugo Boscain Benetto Piccoli The aim of these notes is to give an introduction to the Theory of Optimal Control for nite dimensional systems and in particular to the use of the Pontryagin Maximum Principle towards the constructionof . This chapter is not meant to be an exhaustive primer on linear control theory, although key concepts from optimal control are introduced as needed to build in-tuition. Note that none of the linear system theory below is required to implement the machine learning control strategies in the remainder of the book. Optimal Control, a generalization of the calculus of variations, is used to derive a set of necessary conditions for an optimal trajectory. The primer vector is a term coined by D. F. Lawden in his pioneering work in optimal trajectories. [This terminology is explained after Equation ().]Cited by: 9. Designed specifically for a one-semester course, the book begins with calculus of variations, preparing the ground for optimal control. It then gives a complete proof of the maximum principle and covers key topics such as the Hamilton-Jacobi-Bellman theory of dynamic programming and .

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