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Fuzzy Logic for Embedded Systems Applications (Embedded Technology), by Ahmad Ibrahim
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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
- Sales Rank: #4029684 in eBooks
- Published on: 2003-10-16
- Released on: 2003-10-16
- Format: Kindle eBook
About the Author
Dr. Ibrahim has a BSc (EE) degree from Ain Shams University in Cairo, M Eng and PhD degrees from McMaster University in Hamilton, Ontario. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE), the Association of Professional Engineers of Ontario (APEO), the American Association of Engineering Education (ASEE), and the Material Research Society (MRS). Dr. Ibrahim has lectured widely in the area of electronics on three continents for a diverse population of students and presented seminars and workshops for practicing engineers. He has a wide range of research and tutorial publications. Dr. Ibrahim has chaired numerous technical sessions in several conferences and organized and co-chaired the sessions on Current Trends in Electronics Education during IECON’01. He is the author of Introduction to Applied Fuzzy Electronics and a contributor to the multimedia CD-ROM that accompanies the Canadian edition of Boylestad’s Circuit Analysis, both published by Prentice-Hall. He recently wrote an article titled “Bringing Fuzzy Logic into Focus: An introductory overview of fuzzy electronics” published in the September 2001 issue of IEEE Circuits and Devices magazine.
Excerpt. � Reprinted by permission. All rights reserved.
Extensive coverage of both the theory and application of fuzzy logic design.
Most helpful customer reviews
3 of 3 people found the following review helpful.
Very misleading title
By Kocsonya
The book covers a lot of topics, of which one is fuzzy logic. If your aim is to implement a fuzzy controller in an embedded system, this book will not help you. It does not cover enough theory to be interesting if you want to really understand fuzzy systems, and it is not practical enough to allow you to make a fuzzy system without understanding the theory.
The book also talks about neural networks, in the same style. Not enough math for the theory savvy and not enough practical information for the "want to play with it" types.
In addition, the book often goes on tangents that are of minimal interest for most embedded system designers. If you want to learn how a fuzzy system controls your washing machine or your camera's autofocus (typical embedded fuzzy applications) it is very little use for you to learn about different current mirror circuits used in analog integrated circuit design or how to use the multi-collector bipolar transistor topology to design a current driven fuzzy AND gate on a VLSI chip.
This book is good if you want to grasp the concepts related to fuzzy logic and neural networks, and are keen on reading all sorts of interesting tidbits of related technology. On the other hand, it is pretty useless if you want to learn what the title suggests, that is, how to use and/or implement fuzzy logic in embedded system applications.
On the positive side, the book contains huge amounts of references and pointers to sites and papers where you can actually find information about fuzzy logic for embedded system applications.
2 of 2 people found the following review helpful.
Too much padding, too many typos
By Cdh Manning
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.
3 of 3 people found the following review helpful.
Misleading Title
By Greg Roberts
"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.
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