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An Engineering Approach to Optimal Control and Estimation Theory, by George M. Siouris
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A much-awaited guide to real-world problems in modern control and estimation
This combined text and reference deals with the design of modern control systems. It is the first book in this rapidly growing field to approach optimal control and optimal estimation from a strictly pragmatic standpoint. Sidestepping the realm of theoretical mathematics, An Engineering Approach to Optimal Control and Estimation Theory offers realistic and workable solutions that can be put to immediate use by electrical and mechanical engineers in aerospace and in many other applications.
The author draws on his extensive experience in research and development from industry, government, and academia to present systematic, accessible coverage of all important topics, including:
* All basic mathematics needed to apply subsequent information
* A historical perspective on the evolution of modern control and estimation theory
* All major concepts relevant to the design of modern control systems--from the Kalman filter, to linear regulators, to decentralized Kalman filters
* Practical examples useful in applying the principles under discussion
* Problems at the end of each chapter
* Carefully selected references from the vast number of books published on this subject
* Appendixes reviewing matrix algebra that is central to modern control theory, as well as matrix subroutines, useful to both students and practicing engineers
Optimal Control and Estimation Theory
Optimal control and optimal estimation have seen tremendous growth over the past three decades, owing to major advances in aerospace and other types of engineering. Optimal control and estimation theory is crucial to the design of modern control systems; for instance, navigation, mobile robotics, or automated vehicles and aircraft. It ensures that variables such as temperatures or pressure are kept in check, regardless of the disturbance the system undergoes.
Despite the proliferation of books on the subject, most of the material published in this area is highly theoretical, and approaches the subject in a "theorem-proof" fashion, which is more appropriate to mathematics than to an engineering text. As its title suggests, An Engineering Approach to Optimal Control and Estimation Theory provides a practical and accessible guide, focusing on applications and implementation, and answering real-world questions faced by control engineers.
In its highly organized overview of all areas, the book examines the design of modern optimal controllers requiring the selection of a performance criterion, demonstrates optimization of linear systems with bounded controls and limited control effort, and considers nonlinearities and their effect on various types of signals.
Covering all the basics, the book deals with the evolution of optimal control and estimation theory, and presents the necessary mathematical background needed for this study. It also lists references and problems, and supplies appendixes for those wishing to delve into matrix algebra. Throughout, it offers opportunities for experimentation, while discussing analysis, various filtering methods, and many other pertinent topics.
An Engineering Approach to Optimal Control and Estimation Theory is an invaluable, self-contained reference for practicing engineers, a useful text for graduate students and qualified senior undergraduates, and an important resource for anyone interested in the future of modern control technology.
- Sales Rank: #4172033 in Books
- Published on: 1996-02-15
- Original language: English
- Number of items: 1
- Dimensions: 9.45" h x .91" w x 6.30" l, 1.58 pounds
- Binding: Hardcover
- 424 pages
From the Publisher
This extremely accessible resource is designed to address many questions that engineers have regarding the theory and its implementation. Its main thrust is to teach practical applications as opposed to theory. Random variables, moments, linear systems, white noise, the development of the Kalman filter and the role of the calculus of variations in optimal control are among the topics discussed. Includes numerous illustrations, examples and end-of-chapter problems.
From the Back Cover
A much-awaited guide to real-world problems in modern control and estimation
This combined text and reference deals with the design of modern control systems. It is the first book in this rapidly growing field to approach optimal control and optimal estimation from a strictly pragmatic standpoint. Sidestepping the realm of theoretical mathematics, An Engineering Approach to Optimal Control and Estimation Theory offers realistic and workable solutions that can be put to immediate use by electrical and mechanical engineers in aerospace and in many other applications.
The author draws on his extensive experience in research and development from industry, government, and academia to present systematic, accessible coverage of all important topics, including:
- All basic mathematics needed to apply subsequent information
- A historical perspective on the evolution of modern control and estimation theory
- All major concepts relevant to the design of modern control systems—from the Kalman filter, to linear regulators, to decentralized Kalman filters
- Practical examples useful in applying the principles under discussion
- Problems at the end of each chapter
- Carefully selected references from the vast number of books published on this subject
- Appendixes reviewing matrix algebra that is central to modern control theory, as well as matrix subroutines, useful to both students and practicing engineers
Optimal Control and Estimation Theory
Optimal control and optimal estimation have seen tremendous growth over the past three decades, owing to major advances in aerospace and other types of engineering. Optimal control and estimation theory is crucial to the design of modern control systems; for instance, navigation, mobile robotics, or automated vehicles and aircraft. It ensures that variables such as temperatures or pressure are kept in check, regardless of the disturbance the system undergoes.
Despite the proliferation of books on the subject, most of the material published in this area is highly theoretical, and approaches the subject in a "theorem-proof" fashion, which is more appropriate to mathematics than to an engineering text. As its title suggests, An Engineering Approach to Optimal Control and Estimation Theory provides a practical and accessible guide, focusing on applications and implementation, and answering real-world questions faced by control engineers.
In its highly organized overview of all areas, the book examines the design of modern optimal controllers requiring the selection of a performance criterion, demonstrates optimization of linear systems with bounded controls and limited control effort, and considers nonlinearities and their effect on various types of signals.
Covering all the basics, the book deals with the evolution of optimal control and estimation theory, and presents the necessary mathematical background needed for this study. It also lists references and problems, and supplies appendixes for those wishing to delve into matrix algebra. Throughout, it offers opportunities for experimentation, while discussing analysis, various filtering methods, and many other pertinent topics.
An Engineering Approach to Optimal Control and Estimation Theory is an invaluable, self-contained reference for practicing engineers, a useful text for graduate students and qualified senior undergraduates, and an important resource for anyone interested in the future of modern control technology.
About the Author
George M. Siouris, D.Eng.Sc., is Adjunct Professor in the Department of Electrical and Computer Engineering at the Air Force Institute of Technology, and a researcher with the Directorate of Development Planning, Studies and Analysis Division, Wright-Patterson Air Force Base, Ohio. Dr. Siouris has written numerous technical papers, book reviews, and conference papers; contributed a chapter on inertial navigation to the Encyclopedia of Physical Science Technology; and is the author of Aerospace Avionics Systems: A Modern Synthesis. From 1983 to 1993 he was the Editor for Navigation/Tracking Systems in the IEEE Transactions on Aerospace and Electronic Systems. His primary research interests include theory and applications of inertial navigation and guidance systems, modeling of physical systems, and applications of modern control and estimation theory.
Most helpful customer reviews
4 of 4 people found the following review helpful.
An Excellent Book for Control Engineers
By A Customer
As an industrial control engineer and a reader of "An Engineering Approach to Optimal Control and Estimation Theory", I would like to recommend it to my colleagues. This book aims at making some complicated topics accessible to general readers (such as engineers and practitioners) rather than scaring them away by lengthy derivation of mathematics without practical context.
This elementary treatise seems to have covered most important aspects of theoretical fundamentals, such as stochastic processes, parameter estimation, filtering techniques, regulation control, tracking control, and optimal control. And yet what is good and perhaps unique about this book is its practical examples and many exercises, which I found very helpful in my reading and learning the subject. This really is a book written by an engineer for engineers.
Certainly nothing is perfect, not even many texts written by "applied" mathematicians. In this concern, I would like to bring readers' attention to the book author's self-corrections of typographical errors which was published as errata in the IEEE AES Systems Magazine, in the January issue of 1997. I think the author found most typos and published them for correction soon after the book was placed in the market. Along with his list of corrections is a nice book review article written by an engineering professor of Argentina (in a much more professional manner than what I surprisingly see in the above). These should help the readers contrast the above unprofessional comments with a fair judgement about this book.
6 of 6 people found the following review helpful.
Unprofessional comments on a very professional book
By A Customer
I am using "An Engineering Approach to Optimal Control and Estimation Theory" by G. Siouris for sometime as the main guidance material for solving some practical problems. The book is excellent. It provides straight forward answers to all development and implementation-related questions that have been raised by engineers and applied scientists working in the relevant areas. After reading the comment put by C. Bernard on www.amazon.com I had to take a second look at this book. The book indeed is excellent! It does contain some typos but these typos can mislead only a layman, and fortunately, it is virtually impossible to find a layman among those who implement Optimal Control and Estimation Theory in real life projects. An engineering student would enjoy the way the material is presented, and would not be obstructed by typos. Moreover, I found C. Bernard's comment quite inappropriate. It is not aimed at the improvement of the book but seems to reflect some personal motives. I hope that with the help of readers like myself G. Siouris will fix the typos in the second edition and C. Bernard will learn some good Internet manners.
2 of 2 people found the following review helpful.
A didactic jewel for a student and gold mine for an engineer
By A Customer
Recently I had a chance to read Dr. Siouris' excellent book "An Engineering Approach to Optimal Control and Estimation Theory." As a practicing engineering manager, I found this authoritative modern book written clearly and with good didactic style, which should appeal to engineers and students dealing with the applications of optimal control theory. In spite of some typographical errors, typical of a first edition,and which the careful reader can easily spot, I rate this book very highly. Moreover, such blemishes can be detected very easily and corrected by an instructor, and do not detract from my conclusion that the book can be highly recommended. As a matter of fact, the author himself discovered these typos and subsequently published them in the IEEE AES Magazine's January 1997 issue. I myself, which any reviewer with professionalism and decency, brought some of these errors to the author's attention. Finally, this book is a must reading for every practicing engineer in the areas of computer engineering, guidance and control, business management, economics, etc.
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