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Robust Control Design with MATLAB® (Advanced Textbooks in Control and Signal Processing)
 
 
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Robust Control Design with MATLAB® (Advanced Textbooks in Control and Signal Processing) [Paperback]

Da-Wei Gu (Author)
1.7 out of 5 stars  See all reviews (3 customer reviews)

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Book Description

1852339837 978-1852339838 August 23, 2005 2005
Shows readers how to exploit the capabilities of the MATLAB® Robust Control and Control Systems Toolboxes to the fullest using practical robust control examples.

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Editorial Reviews

Review

From the reviews of the first edition: "The main value of the book is its illustrative character showing how methodologies in robust control are implemented and what is the activity of control designers. So the book is for practitioners." (A. Akutowicz, Zentralblatt MATH, Vol. 1086, 2006)

From the Back Cover

Robustness is often of crucial importance in control system design. Real engineering systems are vulnerable to external disturbance and measurement noise and there are always discrepancies between mathematical models used for design and the actual system in practice. Robust Control Design with MATLAB® helps you learn how to use well-developed advanced robust control design methods in practical cases. To this end, several realistic control design examples ranging from teaching-laboratory experiments, such as a mass–damper–spring assembly, to complex systems like a flexible-link manipulator are given detailed presentation. All the design exercises are conducted using MATLAB® Robust Control Toolbox, Control System Toolbox and Simulink®. By sharing their experiences in industrial cases with minimum recourse to complicated theories and formulae, the authors convey essential ideas and useful insights into robust industrial control systems design using major H-infinity optimization and related methods allowing you quickly to move on with your own challenges.   Features: • Hands-on, tutorial presentation giving you the opportunity to repeat the designs presented and easily to modify them for your own programs. • An abundance of examples illustrating the most important steps in robust design.   On the CD-ROM: • M-files developed with MATLAB® help you to understand the essence of robust control system design portrayed in the text-based examples. • MDL- files for simulation of open- and closed-loop control in Simulink®. • Full-color interpretations of all suitable figures for extra clarity.   Robust Control Design with MATLAB® is for graduate students and practising engineers who want to learn how to deal with robust control design problems without spending a lot of time in researching complex theoretical developments. The demonstrations are current for MATLAB® version 7.01, Robust Control Toolbox version 3.0, Control System Toolbox version 6.1 and Simulink® version 6.1.

Product Details

  • Paperback: 403 pages
  • Publisher: Springer; 2005 edition (August 23, 2005)
  • Language: English
  • ISBN-10: 1852339837
  • ISBN-13: 978-1852339838
  • Product Dimensions: 9.2 x 5.9 x 0.8 inches
  • Shipping Weight: 1.4 pounds (View shipping rates and policies)
  • Average Customer Review: 1.7 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Best Sellers Rank: #1,644,910 in Books (See Top 100 in Books)

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5 of 5 people found the following review helpful:
1.0 out of 5 stars Almost a waste of money, September 12, 2007
By 
This review is from: Robust Control Design with MATLAB® (Advanced Textbooks in Control and Signal Processing) (Paperback)
This textbook embodies the essence of false advertisement. Although the authors claim to use the Robust Control Toolbox, they in fact are using the old (and obsolete) mu synthesis toolbox of yesteryear. I bought this book precisely because all my textbook use the old mu synthesis toolbox and I wanted a book to complement the Robust Control Toolbox demos in the mathworks website. Being that the actual theory is better developed in other textbooks and the examples presented in this book are very similar to those presented in other textbooks, I would not recommend this textbook to anyone.
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4 of 4 people found the following review helpful:
3.0 out of 5 stars Good, but you have to work, August 17, 2006
By 
James Ismail (Boston, MA United States) - See all my reviews
(REAL NAME)   
This review is from: Robust Control Design with MATLAB® (Advanced Textbooks in Control and Signal Processing) (Paperback)
I view this book as a good bridge between theory an application of Linear Robust control design. I see the authors as intentionally staying away from the bowels of the theory so as to not bog down the engineer who is looking to apply the techniques covered. Sometimes the depth of the theory involved dissuades the engineer from applying this powerful tool.

It's too bad that the book wasn't updated to coincide with the release of the Matlab RCT v3. However, every example in the book still works as all of the legacy commands that they are written with are still supported in RCT v3. In fact, it was an excellent exercise for me to convert the examples for use with the new RCT v3 syntax. Running the same examples with the old and new versions of the toolbox provided valuable insight, and was an excellent learning experience.
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12 of 17 people found the following review helpful:
1.0 out of 5 stars Great Disappointment, November 24, 2005
By 
Mark Twain "Rich" (Torrance, CA United States) - See all my reviews
This review is from: Robust Control Design with MATLAB® (Advanced Textbooks in Control and Signal Processing) (Paperback)
This book tries to advertise using the latest Robust Control Toolbox version 3.0. But failed to mention any of the new tools that were developed in version 3.0, such as uncertainty modeling(ureal.m,..), new model reduction tools (reduce.m,..), new loopshaping tools (loopsyn.m,..). The book tries to balance the theory and applications. But failed to illustrate either of them. The theory portion (Part I) has no examples. Actually, it tries to fool the consumers that this is a modern, up-to-date book, but in fact it's not. It only uses the old verion 2 tools. It just dropped a few theories from nowhere with minimum explanation. The references for the theory/algorithms are incomplete. For example the reference for BST model reduction method coded in the toolbox is missing. It also missed the essense of how and why we use Robust Control Theory, the spirit of using H-infinity as a MIMO loopshaping tool and mu-analysis as a multivariable robustness analysis tool. Part II design examples are not challenging enough. They are all easy to solve textbook problems. It did not point out the limitations and solutions of using the tools as an honest and knowledgeable author should do. The Robust Control Toolbox on-line demos even have more interesting and useful industrial design examples. For example, in the book, the spring-mass-damper problem was overly simplifed by attaching one end to the wall (no rigid-body dynamics considered). The hard disk drive problem has no flexible dynamics! It missed the essense of the non-colocated actuator/sensor design problem. The mu-analysis example did not illustrate how to pull out uncertainties from State-Space setup, which is the case for most control system design plants. It also failed to mention why we go from singular values to its lower bound (mu) in the theory part I of the book. It also failed to mention the role and importance of the mu-synthesis technique, and so on and so forth. The book material is too sloppily put together in a short time and out-of-date for a beginner who tries to learn the theory and the new version 3.0 Robust Control Toolbox tools (actually none of the new tools was introduced). It's too simple for an experience robust control designer who tries to advance himself for more chalenging design problems. The new Robust Control Toolbox manual has a lot more information on "Getting Start" and "New Version 3 Tools". This review was done by the Robust Control Toolbox (version 1~3) author.
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Inside This Book (learn more)
First Sentence:
Robustness is of crucial importance in control-system design because real engineering systems are vulnerable to external disturbance and measurement noise and there are always differences between mathematical models used for design and the actual system. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
robust stabilisation problem, function sysic, control weighting functions, triple inverted pendulum, performance weighting function, nonlinear system simulation, input multiplicative perturbation, output multiplicative perturbation, disk drive servo system, right coprime factorisation, singular value plot, balanced truncation method, robust performance analysis, nominal performance requirements, inverted pendulum system, distillation column system, singular perturbation approximation, guarantees robust performance, balanced realisation, left coprime factorisation, coprime factor perturbations, stabilising controllers, robust stability, uncertainty block, structured singular value
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Loop-shaping Design Procedures, Robust Control Toolbox, Gamma Acheived, Iteration Summary, Suboptimal Solutions, Total D-Scale Order, Auto Fit, Dynamic Model of the Distillation Column, Progress Block
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