BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Optimal Control of a Double Integrator: A Primer on Maximum Principle (Studies in Systems, Decision and Control, 68)

Optimal Control of a Double Integrator: A Primer on Maximum Principle (Studies in Systems, Decision and Control, 68)

Optimal Control of a Double Integrator: A Primer on Maximum Principle (Studies
Stock photo: cover may vary

Optimal Control of a Double Integrator: A Primer on Maximum Principle (Studies in Systems, Decision and Control, 68) Paperback - 2018

by Locatelli, Arturo

Add to wish list
  • Used
  • Good
  • Paperback
Used - Good

Description

paperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.
Ask the seller a question Add to wish list
A$116.19
Free Delivery within USA
Standard delivery: 7 to 14 days
More delivery options
Dropship order
Ships from Bonita (California, United States)

Details

  • Title Optimal Control of a Double Integrator: A Primer on Maximum Principle (Studies in Systems, Decision and Control, 68)
  • Author Locatelli, Arturo
  • Binding Paperback
  • Condition Used - Good
  • Pages 311
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2018-04-22
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # 3319825046.G
  • ISBN 9783319825045 / 3319825046
  • Weight 1 lbs (0.45 kg)
  • Dimensions 9.21 x 6.14 x 0.68 in (23.39 x 15.60 x 1.73 cm)
  • Category Technology & Industrial Arts
  • Dewey Decimal Code 515.64
  • Quantity available 1

About Bonita California, United States

Biblio member since 2020

Terms of Sale: 30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Bonita

Reader reviews for Optimal Control of a Double Integrator: A Primer on Maximum Principle (Studies in Systems, Decision and Control, 68)

From the publisher

This book provides an introductory yet rigorous treatment of Pontryagin's Maximum Principle and its application to optimal control problems when simple and complex constraints act on state and control variables, the two classes of variable in such problems. The achievements resulting from first-order variational methods are illustrated with reference to a large number of problems that, almost universally, relate to a particular second-order, linear and time-invariant dynamical system, referred to as the double integrator. The book is ideal for students who have some knowledge of the basics of system and control theory and possess the calculus background typically taught in undergraduate curricula in engineering.

Optimal control theory, of which the Maximum Principle must be considered a cornerstone, has been very popular ever since the late 1950s. However, the possibly excessive initial enthusiasm engendered by its perceived capability to solve any kind of problem gave wayto its equally unjustified rejection when it came to be considered as a purely abstract concept with no real utility. In recent years it has been recognized that the truth lies somewhere between these two extremes, and optimal control has found its (appropriate yet limited) place within any curriculum in which system and control theory plays a significant role.

From the rear cover

This book provides an introductory yet rigorous treatment of Pontryagin's Maximum Principle and its application to optimal control problems when simple and complex constraints act on state and control variables, the two classes of variable in such problems. The achievements resulting from first-order variational methods are illustrated with reference to a large number of problems that, almost universally, relate to a particular second-order, linear and time-invariant dynamical system, referred to as the double integrator. The book is ideal for students who have some knowledge of the basics of system and control theory and possess the calculus background typically taught in undergraduate curricula in engineering.

Optimal control theory, of which the Maximum Principle must be considered a cornerstone, has been very popular ever since the late 1950s. However, the possibly excessive initial enthusiasm engendered by its perceived capability to solve any kind of problem gave way toits equally unjustified rejection when it came to be considered as a purely abstract concept with no real utility. In recent years it has been recognized that the truth lies somewhere between these two extremes, and optimal control has found its (appropriate yet limited) place within any curriculum in which system and control theory plays a significant role.

About the author

Arturo Locatelli is Emeritus Professor of Control Theory at Politecnico di Milano, Italy.
tracking-