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Book Synopsis
This significantly revised edition presents a broad introduction to Control Systems and balances new, modern methods with the more classical. It is an excellent text for use as a first course in Control Systems by undergraduate students in all branches of engineering and applied mathematics. The book contains: A comprehensive coverage of automatic control, integrating digital and computer control techniques and their implementations, the practical issues and problems in Control System design; the three-term PID controller, the most widely used controller in industry today; numerous in-chapter worked examples and end-of-chapter exercises. This second edition also includes an introductory guide to some more recent developments, namely fuzzy logic control and neural networks.

Introduction To Control Systems, An (2nd Edition)

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A Paperback / softback by Kevin Warwick

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    View other formats and editions of Introduction To Control Systems, An (2nd Edition) by Kevin Warwick

    Publisher: World Scientific Publishing Co Pte Ltd
    Publication Date: 01/01/1996
    ISBN13: 9789810225971, 978-9810225971
    ISBN10: 9810225970
    Also in:
    Neural networks and fuzzy systems Fuzzy set theory Automatic control engineering

    Description

    Book Synopsis
    This significantly revised edition presents a broad introduction to Control Systems and balances new, modern methods with the more classical. It is an excellent text for use as a first course in Control Systems by undergraduate students in all branches of engineering and applied mathematics. The book contains: A comprehensive coverage of automatic control, integrating digital and computer control techniques and their implementations, the practical issues and problems in Control System design; the three-term PID controller, the most widely used controller in industry today; numerous in-chapter worked examples and end-of-chapter exercises. This second edition also includes an introductory guide to some more recent developments, namely fuzzy logic control and neural networks.

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