Fuzzy Logic for Embedded Systems Applications (Embedded Technology)

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Product Description

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

Fuzzy Logic for Embedded Systems Applications (Embedded Technology) Review

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.

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