Advanced control engineering /

Advanced Control Engineering provides a complete course in control engineering for undergraduates of all technical disciplines. Starting with a basic overview of elementary control theory this text quickly moves on to a rigorous examination of more advanced and cutting edge date aspects such as robu...

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Bibliographic Details
Main Authors: Burns, Roland S. (Author)
Corporate Authors: Elsevier Science & Technology.
Published: Butterworth-Heinemann,
Publisher Address: Oxford :
Publication Dates: 2001.
Literature type: eBook
Language: English
Subjects:
Online Access: http://www.sciencedirect.com/science/book/9780750651004
Summary: Advanced Control Engineering provides a complete course in control engineering for undergraduates of all technical disciplines. Starting with a basic overview of elementary control theory this text quickly moves on to a rigorous examination of more advanced and cutting edge date aspects such as robust and intelligent control, including neural networks and genetic algorithms. With examples from aeronautical, marine and many other types of engineering, Roland Burns draws on his extensive teaching and practical experience presents the subject in an easily understood and applied manner. Control En.
Carrier Form: 1 online resource (xiii, 450 pages) : illustrations
Bibliography: Includes bibliographical references (pages 428-432) and index.
ISBN: 9780080498782
0080498787
9780750651004
0750651008
1281034940
9781281034946
Index Number: TJ213
CLC: TP13
Contents: Front Cover; Advanced Control Engineering; Copyright Page; Contents; Preface and acknowledgements; Chapter 1. Introduction to Control Engineering; Chapter 2. System Modelling; Chapter 3. Time Domain Analysis; Chapter 4. Closed-Loop Control Systems; Chapter 5. Classical Design in the s-Plane; Chapter 6. Classical Design in the Frequency Domain; Chapter 7. Digital Control System Design; Chapter 8. State-Space Methods for Control System Design; Chapter 9. Optimal and Robust Control System Design; Chapter 10. Intelligent Control System Design; Appendix 1. Control System Design Using Matlab.