Customer Reviews

Applied Optimal Control: Optimization, Estimation and Control

5 star:		(3)
4 star:		(0)
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2 star:		(1)
1 star:		(1)

 

 

This is one of the best books on optimal control. It covers a wide range of interesting material including parameter optimization, optimization for systems with constraints, feedback control and singular solutions of optimization. The book can be useful in teaching courses in control theory. There are plenty of exercises included in the text.

This is a fantastic book on optimal control especially for readers who do not have to learn the math as they go. It covers a wide range of problems in a variety of disciplines and is an interesting book. The approach is relatively modern although a differential geometric approach is not utilized. For those wanting a pretty complete treatment of the basics of optimal control this will be a good supplement to the usual suspects or even a good stand alone text. Although the mathematical requirements are not very great, the reader who has them firmly in hand will be the most successful.

the book is more of a manual than a comprehensive textbook. It is not at all a good book from which to learn the topic. Most of the math is half explained, numerous step jumps, etc. The author seems to have assumed a level of math mastery equivalent to Gauss, Lagrange etc. on the part of the readers. All in all, I would definitely not recommend this book for anyone that wants to really learn the subject. As a graduate student, I have found the book thorny and exceedingly frustrating to read from. Some of the better books are Hull, Kirk.

This book is clearly written by an expert for an expert. It may be a good reference for those familiar with the material who simply need a reference. For students interested in learning the material it is presented at a very high level which is difficult to follow.

One of the best books I've come across on the subjects. Pretty much split in two halves: the first part is Euler-Lagrange and deterministic control and the second half is random processes, filtering, and stochastic control. Covers everything extremely elegantly, including the connection to HBJ, bang-bang control, Pontryagin's principle, Kalman filters, etc.