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Fuzzy Logic for Embedded Systems Applications, by a recognized expert in the field, covers all the basic theory relevant to electronics design, with particular emphasis on embedded systems, and shows how the techniques can be applied to shorten design cycles and handle logic problems that are tough to solve using conventional linear techniques. All the latest advances in the field aree discussed and practical circuit design examples presented.
Fuzzy logic has been found to be particularly suitable for many embedded control applications. The intuitive nature of the fuzzy-based system design saves engineers time and reduces costs by shortening product development cycles and making system maintenance and adjustments easier. Yet despite its wide acceptance-and perhaps because of its name-it is still misunderstood and feared by many engineers. There is a need for embedded systems designers-both hardware and software-to get up to speed on the principles and applications of fuzzy logic in order to ascertain when and how to use them appropriately.
Fuzzy Logic for Embedded Systems Applications provides practical guidelines for designing electronic circuits and devices for embedded systems using fuzzy-based logic. It covers both theory and applications with design examples.
* Unified approach to fuzzy electronics from an engineering point of view
* Easy to follow with plenty of examples
* Review and evaluation of free resources
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By Greg Roberts (San Diego CA, USA)
"A First Look at Fuzzy Logic and Neural Networks..." might be a lot more accurate. It does a good job of covering the concepts. What it doesn't do is address any of the issues of implementing a fuzzy system in an embedded environment. If you don't know what a fuzzy set is then you should consider this book. If you want some tips or ideas for creating an inference engine for an 8 or 16 bit processor I suggest you look elsewhere.
By Anastasios Kessaris (Canada)
The book is written in a language that makes it accessible to beginners in the field of fuzzy logic as well as experts, since it contains top notch research on the state of the art of the topic.
Embedded system design using fuzzy logic algorithms is made easy through practical examples.
I thoroughly enjoyed the book. If you want a concise, well written book that is not overbearing and is actually very user friendly and you are interested in fuzzy logic application algorithms this is your book.
By Cdh Manning (NZ)
While this book does provide a reasonable overview, I found it rather disappointing.
It has too many errors. With highly technical material, it is imperative that the information is correct or else you can't trust it. For example a minus instead of a plus does not help when explaining terminology.
Only half the book is really about fuzzy logic. There is far too much padding eg. 1.large diagrams showing Moore's Law and the layers in an IC gate. These are not subjects that should be covered in a book on fuzzy logic and one is forced to conclude that the author had a page quota to be reached and did it by adding these secions and large verbose reference sections.
A worked example or an appendix showing an algorithm in C would have been far more useful.
By Professor Rashdee (Mississauga, ON. Canada)
For someone looking for fuzzy modeling and control into embedded systems this book is excellent. The author provides a firm fuzzy concepts necessary to design intelligent systems and gives the reader a solid background for further studies and real world applications. Embedded systems design case studies overview is something that all embedded system developers should understand but many don't take the time. It is thorough, without being arcane or pedantic.
In summary the book contains the right material, it is presented in an easy to absorb manor and is practically oriented. I highly recommended it to embedded engineering students, or engineers and managers facing the challenges of fuzzy logic based project. I'll consider five stars for this book.
By Montri Tangjarukij (Samutprakarn Thailand)
Good introduction about fuzzy logic plus a ton of web resources. I gave it 3 stars because so many wording errors in this book.
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1 comments:
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