Optimal Control
An Introduction to the Theory with Applications
Leslie M. Hocking(Author)
Clarendon Press
Published on 28. February 1991
Book
Hardback
268 pages
978-0-19-859675-2 (ISBN)
Description
Systems that evolve with time occur frequently in nature and modelling the behaviour of such systems provides an important application of mathematics. These systems can be completely deterministic, but it may be possible too to control their behaviour by intervention through "controls". The theory of optimal control is concerned with determining such controls which, at minimum cost, either direct the system along a given trajectory or enable it to reach a given point in its state space. This textbook is a straightforward introduction to the theory of optimal control with an emphasis on presenting many different applications. Professor Hocking has taken pains to ensure that the theory is developed to display the main themes of the arguments but without using sophisticated mathematical tools. Problems in this setting can arise across a wide range of subjects and there are illustrative examples of systems from as diverse fields as dynamics, economics, population control, and medicine. Throughout there are many worked examples, and numerous exercises (with solutions) are provided.
More details
Series
Language
English
Place of publication
Oxford
United Kingdom
Publishing group
Oxford University Press
Target group
College/higher education
Illustrations
38 line drawings, bibliography, index
Dimensions
Height: 215 mm
Width: 140 mm
Weight
481 gr
ISBN-13
978-0-19-859675-2 (9780198596752)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Content
Optimal control problems; Systems of differential equations, matrices, and sets; Part A Time-Optimal Control of Linear Systems: Controllability; Time-optimal control; Further examples; Part B The Pontryagin Maximum Principle: The basic Pontryagin Maximum Principle (PMP); Extensions to the PMP; Linear state equations with quadratic costs; Proof of the Pontryagin Maximum Principle; Further applications and extensions; Part C Applications of Optimal Control Theory: Some applied optimal control problems; Numerical methods for optimal control problems outline solutions to the exercises.