Automatic Control Systems Review

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(More customer reviews)I had to use this book for my last semester in electrical engineering. It is really interesting, well explained and complete for a concise introduction about control engineering and design of controllers.
All you need to follow the text are basic notions in engineer's mathematics (a bit of calculus and algebra). A few chapters offer reviews of important notions (transfert functions, state variable modeling, differential equations, ...) Then, you get to the essential, control theory.
The book is well divided. First chapters cover mathematical notions you have to master in order to succeed in the next part (signal flow diagrams, block diagrams, a bit of mechanic). Then, a few chapters introduce control loops, poles and zeros interpretation (explained very well with a lot of graphs examples). A single chapter covers root loci drawing. Great explanations about controllers are complete and easy to understand. The last chapter is kept for design only with A LOT of examples for PID, phase-lag, filters, etc.
Emphasis is made on computer design with examples all along the book. The CD included offers a few useful tools to use for design with Matlab.
The author knows his subject more than anyone else. He has good experience in design and the text is well written. A must for anyone studying the subject.

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Automatic Control Systems provides engineers with a fresh new controls book that places special emphasis on mechatronics. It follows a revolutionary approach by actually including a physical lab. In addition, readers will find authoritative coverage of modern design tools and examples. Current mechatronics applications build motivation to learn the material. Extensive use of virtual lab software is also integrated throughout the chapters. Engineers will gain a strong understand of control systems with the help of modern examples and exercises.

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Optimal Estimation of Dynamic Systems, Second Edition (Chapman & Hall/CRC Applied Mathematics & Nonlinear Science) Review

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(More customer reviews)It presents the fundamentals of state estimation theory and the tools for the design of state-of-the-art algorithms for navigation and tracking, vehicle attitude determination. There is a lot of material that is covered by this book. The examples are well presented and they really help you when working on the problems at the end of each chapter. Also, computer routines for all the examples shown in the text can be accessed. I have to say that this is an excellent book for estimation of dynamic systems.

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Optimal Estimation of Dynamic Systems, Second Edition highlights the importance of both physical and numerical modeling in solving dynamics-based estimation problems found in engineering systems. Accessible to engineering students, applied mathematicians, and practicing engineers, the text presents the central concepts and methods of optimal estimation theory and applies the methods to problems with varying degrees of analytical and numerical difficulty. Different approaches are often compared to show their absolute and relative utility. The authors also offer prototype algorithms to stimulate the development and proper use of efficient computer programs. MATLAB codes for the examples are available on the book's website.New to the Second EditionWith more than 100 pages of new material, this reorganized edition expands upon the best-selling original to include comprehensive developments and updates. It incorporates new theoretical results, an entirely new chapter on advanced sequential state estimation, and additional examples and exercises. An ideal self-study guide for practicing engineers as well as senior undergraduate and beginning graduate students, the book introduces the fundamentals of estimation and helps newcomers to understand the relationships between the estimation and modeling of dynamical systems. It also illustrates the application of the theory to real-world situations, such as spacecraft attitude determination, GPS navigation, orbit determination, and aircraft tracking.

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Fuzzy Control and Modeling: Analytical Foundations and Applications (IEEE Press Series on Biomedical Engineering) Review

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(More customer reviews)I am using this book in a graduate college class.
The author flows freely from Fuzzy Mathematics (e.g. Fuzzy Set Theory) to Fuzzy Controllers. Each use different letters.
To add to the confusion, yet another set of variables are used to represent the difference between continuous and discrete controllers.
So, you have 4 different sets of nomenclature used. If you are an applications engineer, you only care about one set: discrete controllers.
Not confused enough? The membership function uses the Greek letter mu (looks like the letter "u"), and the input to the controller uses the letter "u". You ~really~ have to stop and think when you are reading the equations. However, I think this is just where standard Fuzzy nomenclature bumps into standard Control Theory nomenclature.
It would have been very helpful to have a diagram of the system up front, with all the variables labeled.
Chapter 7 discusses using Fuzzy Systems to approximate continuous functions. I haven't survived the book to that point yet, but why would you want to do that? The whole reason to use fuzzy logic is to handle discontinuous, and non-linear situations, which cannot be handled by other means. Function approximation can be easily done using Taylor's series, Lagrangians, etc...
I also feel it necessary to add that as a first time reader to the book, who had never read the book before, and who is reading the book for the first time now for the first time.... that there are many places in the book where redundancies are used overly redundantly.
The redundancies are a problem because they add confusion to a difficult subject.
Ex: p29: "Our answer is from the viewpoint of conventional control technology, and it reveals the nature of fuzzy control in relation to conventional control."
There were 14 editors on this book, but it still could have been edited better. (e.g. Editing was a bit fUzZY, and not fussy enough.)
The book provides no example code or software. So, if you want to implement anything, you are on your own. There has to be a better book on Fuzzy Logic around. If there isn't, then there is an opportunity.

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The emerging, powerful fuzzy control paradigm has led to the worldwide success of countless commercial products and real-world applications. Fuzzy control is exceptionally practical and cost-effective due to its unique ability to accomplish tasks without knowing the mathematical model of the system, even if it is nonlinear, time varying and complex. Nevertheless, compared with the conventional control technology, most fuzzy control applications are developed in an ad hoc manner with little analytical understanding and without rigorous system analysis and design.
Fuzzy Control and Modeling is the only book that establishes the analytical foundations for fuzzy control and modeling in relation to the conventional linear and nonlinear theories of control and systems. The coverage is up-to-date, comprehensive, in-depth and rigorous. Numeric examples and applications illustrate the utility of the theoretical development.
Important topics discussed include:
Structures of fuzzy controllers/models with respect to conventional fuzzy controllers/models
Analysis of fuzzy control and modeling in relation to their classical counterparts
Stability analysis of fuzzy systems and design of fuzzy control systems
Sufficient and necessary conditions on fuzzy systems as universal approximators
Real-time fuzzy control systems for treatment of life-critical problems in biomedicine
Fuzzy Control and Modeling is a self-contained, invaluable resource for professionals and students in diverse technical fields who aspire to analytically study fuzzy control and modeling.

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