Applied Dynamics Programming for Optimization of Dynamical Systems
£60.00
Part of Advances in Design and Control
- Authors:
- Rush D. Robinett, Sandia National Laboratories, New Mexico
- David G. Wilson, Sandia National Laboratories, New Mexico
- G. Richard Eisler, Sandia National Laboratories, New Mexico
- John E. Hurtado, Texas A & M University
- Date Published: July 2005
- availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial null Mathematics for availability.
- format: Hardback
- isbn: 9780898715866
£
60.00
Hardback
Looking for an inspection copy?
This title is not currently available on inspection
-
Based on the results of over 10 years of research and development by the authors, this book presents a broad cross section of dynamic programming (DP) techniques applied to the optimization of dynamical systems. The intention of the research effort was to develop a robust path planning/trajectory optimization tool that did not require an initial guess, partially met with a combination of DP and homotopy algorithms. DP algorithms are presented here with a theoretical development, and their successful application to a variety of practical engineering problems is emphasized. The organization of the book enables the reader to use DP algorithms before thoroughly comprehending the full theoretical development. Moreover, the applications of DP algorithms are easily adapted to the reader's own interests and problems. Illustrative examples that surround linear systems applications gradually introduce DP algorithm development, while design steps applied to case studies illustrate the ideas and principles behind DP algorithms.
Read more- Physicists and mechanical, electrical, aerospace, and industrial engineers will find this book enormously useful
- It will also appeal to research scientists and engineering students who have a background in dynamics and control and are able to develop and apply the DP algorithms to their particular problems
- This book is suitable as a reference or supplemental textbook for graduate courses in optimization of dynamical and control systems
Reviews & endorsements
'The book is a welcome addition to the dynamical systems field. The marriage of optimization broadly and dynamic programming in particular to a family of problems in robotics and spacecraft maneuvers is beautifully executed. There is good balance between development of methodology and presentation of illustrative applications. The detailed appendices will be most appreciated by serious students who wish to understand these results and carry them further. In summary, I like this book and warmly recommend it.' John L. Junkins, Distinguished Professor of Aerospace Engineering, Director, Center for Mechanics and Control, Texas A&M University
Customer reviews
Not yet reviewed
Be the first to review
Review was not posted due to profanity
×Product details
- Date Published: July 2005
- format: Hardback
- isbn: 9780898715866
- length: 278 pages
- dimensions: 260 x 188 x 18 mm
- weight: 0.675kg
- availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial null Mathematics for availability.
Table of Contents
Preface
1. Introduction
2. Constrained optimization
3. Introduction to dynamic programming
4. Advanced dynamic programming
5. Applied case studies
Appendices
Bibliography
Index.
Sorry, this resource is locked
Please register or sign in to request access. If you are having problems accessing these resources please email lecturers@cambridge.org
Register Sign in» Proceed
You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.
Continue ×Are you sure you want to delete your account?
This cannot be undone.
Thank you for your feedback which will help us improve our service.
If you requested a response, we will make sure to get back to you shortly.
×