Fr. 159.00

Neural and Fuzzy Logic Control of Drives and Power Systems

English · Hardback

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Informationen zum Autor Dr. M. Cirstea is currently senior lecturer in electronics at De Montfort University inLeicester, UK. He completed his PhD at Nottingham Trent University, UK (1996), aftergraduating from Transilvania University of Brasov in Romania (MEng diploma engineer -1990). He obtained a Postgraduate Certificate in Teaching and Learning from De MontfortUniversity (1999). Dr. Cirstea teaches a range of modules on advanced digital electronicsand EDA/CAD. His research focuses on electronic control of power systems and drives.Additional interests are in ASIC/FPGA design and implementation, vehicle electronics,concurrent engineering, neural networks and fuzzy logic. He is an active researcher,involved in industrial collaboration and international academic exchange programmes. Dr.Cirstea published several academic books and more than 50 scientific papers. He supervised3 PhDs and 1 MPhil to completion and is currently supervising another 4 research students.He is a Chartered Engineer (CEng), Member of IEE, Member of IEEE, referee for a range ofprestigious IEE/IEEE journals/conferences and currently is one of the 9 members of theInternational Advisory Board for Accelera Designers Forum (ADF)(http://www.eda.org/pub/adf/ADFboardm.html#peb). Andrei Dinu is on the Faculty of Computing Sciences and Engineering, for De Montford University in Leicester in the UK. Malcolm McCormick is on the faculty of Computing Sciences and Engineering for De Montfort University in Leicester in the UK. Jeen Khor works in the Network Processing Group for Intel Corporation in Malaysia. Introducing cutting-edge control systems to a wide readership of engineers and students, this book on neuro-fuzzy control systems takes a practical, applications-based approach, backed up with worked examples and case studies. Part 1-Theory and Principles; Control Systems; Modern Control Systems Design using CAD Techniques; Electric Motors and Power Systems; Elements of Neural Control; Neural FPGA Implementation; Fuzzy Logic Fundamentals; VHDL Fundamentals Part 2-Case Studies; Neural Current and Speed Control of induction Motors; Fuzzy Logic Control of a Synchronous Generator Set; References...

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