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A First Course in Fuzzy and Neural Control

2002-11-12 Mathematics
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Release : 2002-11-12
Genre : Mathematics
Kind : eBook
Book Rating : 525/5 ( reviews)

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Book Synopsis A First Course in Fuzzy and Neural Control by : Hung T. Nguyen

Download or read book A First Course in Fuzzy and Neural Control written by Hung T. Nguyen. This book was released on 2002-11-12. Available in PDF, EPUB and Kindle. Book excerpt: Although the use of fuzzy control methods has grown nearly to the level of classical control, the true understanding of fuzzy control lags seriously behind. Moreover, most engineers are well versed in either traditional control or in fuzzy control-rarely both. Each has applications for which it is better suited, but without a good understanding of

A First Course in Fuzzy and Neural Control

2002-11-12 Mathematics
Download A First Course in Fuzzy and Neural Control PDF Online Free

Author :
Release : 2002-11-12
Genre : Mathematics
Kind : eBook
Book Rating : 442/5 ( reviews)

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Book Synopsis A First Course in Fuzzy and Neural Control by : Hung T. Nguyen

Download or read book A First Course in Fuzzy and Neural Control written by Hung T. Nguyen. This book was released on 2002-11-12. Available in PDF, EPUB and Kindle. Book excerpt: Although the use of fuzzy control methods has grown nearly to the level of classical control, the true understanding of fuzzy control lags seriously behind. Moreover, most engineers are well versed in either traditional control or in fuzzy control-rarely both. Each has applications for which it is better suited, but without a good understanding of both, engineers cannot make a sound determination of which technique to use for a given situation. A First Course in Fuzzy and Neural Control is designed to build the foundation needed to make those decisions. It begins with an introduction to standard control theory, then makes a smooth transition to complex problems that require innovative fuzzy, neural, and fuzzy-neural techniques. For each method, the authors clearly answer the questions: What is this new control method? Why is it needed? How is it implemented? Real-world examples, exercises, and ideas for student projects reinforce the concepts presented. Developed from lecture notes for a highly successful course titled The Fundamentals of Soft Computing, the text is written in the same reader-friendly style as the authors' popular A First Course in Fuzzy Logic text. A First Course in Fuzzy and Neural Control requires only a basic background in mathematics and engineering and does not overwhelm students with unnecessary material but serves to motivate them toward more advanced studies.

Solutions Manual First Course in Fuzzy And Neural Control

2005-07-25 Computers
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Release : 2005-07-25
Genre : Computers
Kind : eBook
Book Rating : 695/5 ( reviews)

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Book Synopsis Solutions Manual First Course in Fuzzy And Neural Control by : Miguel J Bagajewicz

Download or read book Solutions Manual First Course in Fuzzy And Neural Control written by Miguel J Bagajewicz. This book was released on 2005-07-25. Available in PDF, EPUB and Kindle. Book excerpt:

First Course on Fuzzy Theory and Applications

2006-11-30 Computers
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Release : 2006-11-30
Genre : Computers
Kind : eBook
Book Rating : 66X/5 ( reviews)

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Book Synopsis First Course on Fuzzy Theory and Applications by : Kwang Hyung Lee

Download or read book First Course on Fuzzy Theory and Applications written by Kwang Hyung Lee. This book was released on 2006-11-30. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy theory has become a subject that generates much interest among the courses for graduate students. However, it was not easy to find a suitable textbook to use in the introductory course and to recommend to the students who want to self-study. The main purpose of this book is just to meet that need. The author has given lectures on the fuzzy theory and its applications for ten years and continuously developed lecture notes on the subject. This book is a publication of the modification and summary of the lecture notes. The fundamental idea of the book is to provide basic and concrete concepts of the fuzzy theory and its applications, and thus the author focused on easy illustrations of the basic concepts. There are numerous examples and figures to help readers to understand and also added exercises at the end of each chapter. This book consists of two parts: a theory part and an application part. The first part (theory part) includes chapters from 1 to 8. Chapters 1 and 2 introduce basic concepts of fuzzy sets and operations, and Chapters 3 and 4 deal with the multi-dimensional fuzzy sets. Chapters 5 and 6 are extensions of the fuzzy theory to the number and function, and Chapters 7 and 8 are developments of fuzzy properties on the probability and logic theories.

Fuzzy Neural Networks for Real Time Control Applications

2015-10-07 Mathematics
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Release : 2015-10-07
Genre : Mathematics
Kind : eBook
Book Rating : 037/5 ( reviews)

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Book Synopsis Fuzzy Neural Networks for Real Time Control Applications by : Erdal Kayacan

Download or read book Fuzzy Neural Networks for Real Time Control Applications written by Erdal Kayacan. This book was released on 2015-10-07. Available in PDF, EPUB and Kindle. Book excerpt: AN INDISPENSABLE RESOURCE FOR ALL THOSE WHO DESIGN AND IMPLEMENT TYPE-1 AND TYPE-2 FUZZY NEURAL NETWORKS IN REAL TIME SYSTEMS Delve into the type-2 fuzzy logic systems and become engrossed in the parameter update algorithms for type-1 and type-2 fuzzy neural networks and their stability analysis with this book! Not only does this book stand apart from others in its focus but also in its application-based presentation style. Prepared in a way that can be easily understood by those who are experienced and inexperienced in this field. Readers can benefit from the computer source codes for both identification and control purposes which are given at the end of the book. A clear and an in-depth examination has been made of all the necessary mathematical foundations, type-1 and type-2 fuzzy neural network structures and their learning algorithms as well as their stability analysis. You will find that each chapter is devoted to a different learning algorithm for the tuning of type-1 and type-2 fuzzy neural networks; some of which are: • Gradient descent • Levenberg-Marquardt • Extended Kalman filter In addition to the aforementioned conventional learning methods above, number of novel sliding mode control theory-based learning algorithms, which are simpler and have closed forms, and their stability analysis have been proposed. Furthermore, hybrid methods consisting of particle swarm optimization and sliding mode control theory-based algorithms have also been introduced. The potential readers of this book are expected to be the undergraduate and graduate students, engineers, mathematicians and computer scientists. Not only can this book be used as a reference source for a scientist who is interested in fuzzy neural networks and their real-time implementations but also as a course book of fuzzy neural networks or artificial intelligence in master or doctorate university studies. We hope that this book will serve its main purpose successfully. - Parameter update algorithms for type-1 and type-2 fuzzy neural networks and their stability analysis - Contains algorithms that are applicable to real time systems - Introduces fast and simple adaptation rules for type-1 and type-2 fuzzy neural networks - Number of case studies both in identification and control - Provides MATLAB® codes for some algorithms in the book

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