PDF Ebook Applied Control Systems Design, by Magdi S. Mahmoud, Yuanqing Xia
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Applied Control Systems Design, by Magdi S. Mahmoud, Yuanqing Xia
PDF Ebook Applied Control Systems Design, by Magdi S. Mahmoud, Yuanqing Xia
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Applied Control System Design examines several methods for building up systems models based on real experimental data from typical industrial processes and incorporating system identification techniques. The text takes a comparative approach to the models derived in this way judging their suitability for use in different systems and under different operational circumstances. A broad spectrum of control methods including various forms of filtering, feedback and feedforward control is applied to the models and the guidelines derived from the closed-loop responses are then composed into a concrete self-tested recipe to serve as a check-list for industrial engineers or control designers. System identification and control design are given equal weight in model derivation and testing to reflect their equality of importance in the proper design and optimization of high-performance control systems.
Readers’ assimilation of the material discussed is assisted by the provision of problems and examples. Most of these exercises use MATLAB� to make computation and visualization more straightforward.
Applied Control System Design will be of interest to academic researchers for its comparison of different systems models and their response to different control methods and will assist graduate students in learning the practical necessities of advanced control system design. The consistent reference to real systems coupled with self-learning tools will assist control practitioners who wish to keep up to date with the latest control design ideas.
- Sales Rank: #6928254 in Books
- Published on: 2012-04-13
- Original language: English
- Number of items: 1
- Dimensions: 9.20" h x 1.40" w x 6.30" l, 2.05 pounds
- Binding: Hardcover
- 560 pages
Review
From the reviews:
“This book provides a thorough ‘guided tour’ of the various control design techniques applied to a variety of real world systems. … the book comes with not only numerous illustrative examples throughout the book, but also questions and MATLAB problems for some chapters which attracts graduate students and researchers not only for self-reading but also for use as a text book for advanced graduate students in disciplines such as electrical, mechanical, aerospace, and chemical engineering.” (D. Subbaram Naidu, Amazon.com, October, 2013) From the Back Cover
Applied Control System Design examines several methods for building up systems models based on real experimental data from typical industrial processes and incorporating system identification techniques. The text takes a comparative approach to the models derived in this way judging their suitability for use in different systems and under different operational circumstances. A broad spectrum of control methods including various forms of filtering, feedback and feedforward control is applied to the models and the guidelines derived from the closed-loop responses are then composed into a concrete self-tested recipe to serve as a check-list for industrial engineers or control designers. System identification and control design are given equal weight in model derivation and testing to reflect their equality of importance in the proper design and optimization of high-performance control systems.
Readers’ assimilation of the material discussed is assisted by the provision of problems and examples. Most of these exercises use MATLAB� to make computation and visualization more straightforward.
Applied Control System Design will be of interest to academic researchers for its comparison of different systems models and their response to different control methods and will assist graduate students in learning the practical necessities of advanced control system design. The consistent reference to real systems coupled with self-learning tools will assist control practitioners who wish to keep up to date with the latest control design ideas.
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0 of 0 people found the following review helpful.
Applied Control Systems Design, Springer, 2012
By D. Subbaram Naidu
M.S. Mahmoud and Y.Xia, Applied Control Systems Design, Springer, 2012
Reviewed by D. Subbaram Naidu, Idaho State University (formerly Book Review Editor: IEEE Transactions on Automatic Control; Wiley International Journals of Robust and Nonlinear Control and Optimal Control: Applications and Methods and Elsevier International Journal Mechatronics: The Science of Intelligent Machines).
This book consisting of eight chapters covers the main topics on industrial systems, system identification, nonlinear control design, optimal control, adaptive control, robust control and applications to variety of engineering systems.
This book provides a thorough "guided tour" of the various control design techniques applied to a variety of real world systems. Although, there have been a number of books [1-5] with the label "applied", the present book brings in under one cover an overview treatment of a number of the so-called "modern" topics such as system identification and estimation, and optimal, adaptive, robust, intelligent controls and to a spectrum of applications starting from distillation unit, steam generation unit, to unmanned marine vehicle, flexible bomber aircraft. Further, the book comes with not only numerous illustrative examples throughout the book, but also questions and MATLAB problems for some chapters which attracts graduate students and researchers not only for self-reading but also for use as a text book for advanced graduate students in disciplines such as electrical, mechanical, aerospace, and chemical engineering.
This book is an excellent addition to answer in many ways the concerns by many that "control" is only a "theory" and not "applied" field.
References:
Hall, Englewood Cliffs, NJ, 1992.
[1] G. Knowles, An Introduction to Applied Optimal Control, Academic Press, New York, NY, 1981.
[2] J.-J. Slotine and W. Li, Applied Nonlinear Control, Prentice Hall, Englewood Cliffs, NJ, 1991.
[3] F.L. Lewis, Applied Optimal Control and Estimation: Digital Design and Implementation, Prentice Hall, Englewood Cliffs, NJ, 1992.
[4] A.E. Bryson, Jr., Applied Linear Optimal Control: Examples and Algorithms, Cambridge University Press, Cambridge, UK, 2002.
[5] S. Lenhart and J.T. Workman, Optimal Control Applied to Biological Models, Chapman & Hall/CRC Press, Boca Raton, FL, 2007.
0 of 0 people found the following review helpful.
Four Stars
By ali
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