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Advanced Fuzzy Logic Technologies in Industrial Applications

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.10.2010

Herausgeber

Ying Bai + weitere

Verlag

Springer London

Seitenzahl

334

Maße (L/B/H)

23,5/15,5/2 cm

Gewicht

552 g

Auflage

Softcover reprint of hardcover 1st ed. 2006

Sprache

Englisch

ISBN

978-1-84996-606-1

Beschreibung

Rezension

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)

Portrait

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.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.10.2010

Herausgeber

Verlag

Springer London

Seitenzahl

334

Maße (L/B/H)

23,5/15,5/2 cm

Gewicht

552 g

Auflage

Softcover reprint of hardcover 1st ed. 2006

Sprache

Englisch

ISBN

978-1-84996-606-1

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: Advanced Fuzzy Logic Technologies in Industrial Applications
  • Produktbild: Advanced Fuzzy Logic Technologies in Industrial Applications
  • From Classical Control to Fuzzy Logic Control.- Fundamentals of Fuzzy Logic Control — Fuzzy Sets, Fuzzy Rules and Defuzzifications.- Implementation of Fuzzy Logic Control Systems.- Knowledge-based Tuning I: Design and Tuning of Fuzzy Control Surfaces with Bezier Function.- Knowledge-based Tuning II: ?-Law Tuning of a Fuzzy Lookup Table.- Apply a Fuzzy Logic Controller to Suppress Noises and Coupling Effects for a Laser Tracking System.- Fuzzy Logic for Image Processing: Definition and Applications of a Fuzzy Image Processing Scheme.- Fuzzy Logic for Medical Engineering: An Application to Vessel Segmentation.- Fuzzy Logic for Transportation Guidance: Developing Fuzzy Controllers for Maintaining an Inter-Vehicle Safety Headway.- Fuzzy Logic Control for Automobiles I: Knowledge-based Gear-position Decision.- Fuzzy Logic Control for Automobiles II: Navigation and Collision Avoidance System.- Fuzzy Logic Based Control Mechanisms for Handling the Uncertainties Facing Mobile Robots in Changing Unstructured Environments.- Combine Sliding Mode Control and Fuzzy Logic Control for Autonomous Underwater Vehicles.- Fuzzy Logic for Flight Control I: Nonlinear Optimal Control of Helicopter Using Fuzzy Gain Scheduling.- Fuzzy Logic for Flight Control II: Fuzzy Logic Approach to Path Tracking and Obstacles Avoidance of UAVs.- Close Formation Flight Control of Multi-UAVs via Fuzzy Logic Technique.- Applications of Fuzzy Logic in Data Mining Process.- Fuzzy Logic Control for Power Networks: A Multilayer Fuzzy Controller.- Fuzzy Predictive Control for Power Plants.- Fuzzy Logic for Robots Calibration — Using Fuzzy Interpolation Technique in Modeless Robot Calibration.- Fuzzy Control on Manufacturing Welding Systems: To Apply Fuzzy Theory in the Control of Weld Line of PlasticInjection-Molding.