Overview
- Describes the real-world uses of new fuzzy techniques to simplify readers’ tuning processes and enhance the performance of their control systems
- Application examples drawn from a spectrum of advanced practical implementations cater to the current needs of engineers working with intelligent control
- Specialist authors supply information for each application
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Industrial Control (AIC)
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Table of contents (21 chapters)
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Front Matter
Keywords
About this book
Reviews
From the reviews:
"The book is organized as follows. The first four chapters ‘introduce’ fuzzy controllers … . The remainder of the text covers applications, including noise suppression in laser tracking, medical engineering, flight control, and data mining. … For a reader desiring a collection on advanced industrial FST applications, this text is adequate. The examples are fresh and fairly broad. Few readers outside this group will find this book useful. … the reader is encouraged to investigate fuzzy methodology." (J. Douglas Barrett, Technometrics, Vol. 49 (4), 2007)
"This volume provides a systematic review of recent fuzzy-logic control applications. … the volume has a healthy proportion of chapters with results from practical implementations of fuzzy-logic control. … will be of considerable interest to all those involved in the development and application of the fuzzy-logic controller field. Industrial engineers and academic researchers should find the volume a useful indicator of the maturity of the fuzzy-logic controller paradigm and a valuable resource for exploring the potential of these controllers for industrial applications." (George S. Stavrakakis, Vol. 1135 (13), 2008)
Editors and Affiliations
About the editors
Doctor Ying Bai has been working in the field of fuzzy logic control since 1995. He has published three textbooks and about 20 research papers in international conferences and journals, and most of them are related to the fuzzy logic control on DC/AC motors, laser tracking systems and modeless robots calibrations. He is currently teaching at the Department of Computer Science and Engineering at Johnson C. Smith University.
Dr. Zhuang is an Associate Editor of IEEE Transactions on Robotics and International Journal of Computer Applications. He has received a number of awards and grants, including a NSF Young Investigator Award. He has published one research monograph and 50 refereed journal papers on the subjects of robotics, computer vision and fuzzy logic control. His recent research activities include conducting a project with DOD/DISA on secure telecommunication using fuzzy logic and biometrics.
Dr. Dali Wang is an Assistant Professor at Christopher Newport University. He has over 20 refereed research papers in the areas of digital signal processing, soft computing and robotics. Since 1995, he has been extensively involved in work on the applications of soft computing techniques, including neural networks and fuzzy logic, in many industrial areas: digital signal processing, telecommunications, control and robotics. He gained practical perspective from his five years' industrial experience in the semiconductor, wireless and network communication industry. Much of his research work is involved in combining theoretical aspects and practical implementation.
Bibliographic Information
Book Title: Advanced Fuzzy Logic Technologies in Industrial Applications
Editors: Ying Bai, Hanqi Zhuang, Dali Wang
Series Title: Advances in Industrial Control
DOI: https://doi.org/10.1007/978-1-84628-469-4
Publisher: Springer London
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag London 2006
Hardcover ISBN: 978-1-84628-468-7Published: 02 October 2006
Softcover ISBN: 978-1-84996-606-1Published: 21 October 2010
eBook ISBN: 978-1-84628-469-4Published: 17 January 2007
Series ISSN: 1430-9491
Series E-ISSN: 2193-1577
Edition Number: 1
Number of Pages: XXV, 334
Topics: Control and Systems Theory, Artificial Intelligence, Control, Robotics, Mechatronics, Pattern Recognition, Automotive Engineering, Biomedical Engineering and Bioengineering