Neural and fuzzy logic control of drives and power systems /

Neural and fuzzy logic control of drives and power systems /

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Bibliographic Details
Imprint:	Oxford [England] ; Boston, MA : Newnes, 2002.
Description:	1 online resource (ix, 399 pages) : illustrations
Language:	English
Subject:	Electronic controllers -- Mathematical models. Control theory. Fuzzy systems. Neural networks (Computer science) Fuzzy logic. VHDL (Computer hardware description language) Electric driving, Variable speed -- Automatic control. Electric machinery -- Alternating current -- Automatic control. Electric motors -- Electronic control. Control theory. Electric machinery -- Alternating current -- Automatic control. Electric motors -- Electronic control. Fuzzy logic. Fuzzy systems. Neural networks (Computer science) VHDL (Computer hardware description language) Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11154240

Hidden Bibliographic Details
Other authors / contributors:	Cirstea, M. N. (Marcian N.)
ISBN:	9780750655583 0750655585 9781429483988 1429483989 9780080497365 0080497365
Notes:	Includes bibliographical references (pages 294-304) and index. Print version record.
Summary:	The authors guide readers quickly and concisely through the complex topics of neural networks, fuzzy logic, mathematical modelling of electrical machines, power systems control and VHDL design. Unlike the academic monographs that have previously been published on each of these subjects, this book combines them and is based round case studies of systems analysis, control strategies, design, simulation and implementation. The result is a guide to applied control systems design that will appeal equally to students and professional design engineers. The book can also be used as a unique VHDL design aid, based on real-world power engineering applications. Introduces cutting-edge control systems to a wide readership of engineers and students The first book on neuro-fuzzy control systems to take a practical, applications-based approach, backed up with worked examples and case studies *Learn to use VHDL in real-world applications.
Other form:	Print version: Neural and fuzzy logic control of drives and power systems. Oxford [England] ; Boston, MA : Newnes, 2002 0750655585 9780750655583

Table of Contents:

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