Control Theory
2nd Edition
Published on 21. January 2009
320 pages
978-1-84919-054-1 (ISBN)
Description
Concise highly readable book emphasising the concepts and principles that are prerequisite for understanding both traditional and recent control theory.
The text is enlivened by a large number of interesting interludes that complement the main text.
This second edition of Control Theory: A Guided Tour (IEE 1992) has been fully revised and enlarged and now contains an introduction to H infinity methods as well as a new chapter on Artificial Intellingence (AI) methods and a retrospective review of how control theory developed. All the topics covered can be taken further using the extensive annotated reference section.
The text is enlivened by a large number of interesting interludes that complement the main text.
This second edition of Control Theory: A Guided Tour (IEE 1992) has been fully revised and enlarged and now contains an introduction to H infinity methods as well as a new chapter on Artificial Intellingence (AI) methods and a retrospective review of how control theory developed. All the topics covered can be taken further using the extensive annotated reference section.
More details
Series
Edition
2nd edition
Language
English
Place of publication
Stevenage
United Kingdom
Target group
College/higher education
Professional and scholarly
ISBN-13
978-1-84919-054-1 (9781849190541)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
E-Book
08/2012
3rd Edition
Institution of Engineering and Technology
€144.19
Available for download
Additional editions
J.R. Leigh
Control Theory
Book
07/2004
2nd Edition
Institution of Engineering and Technology
€74.50
Article exhausted; check for reprint
Person
Professor Ron Leigh achieved an HND and the Freshgate Prize from Sheffield Polytechnic, and MSc from University of London and a Doctorate in Control Engineering from the University of Cambridge. His career has been spent either in designing and implementing control systems for the process industries or in teaching and researching control topics. His current appointment is Professor Associate in Control Engineering at Brunel University. Previous appointments include as Director of the Industrial Control Centre at the University of Westminster and Head, Control Systems Research Laboratory, London. His publications include eight books and an extensive range of research papers.
Content
Chapter 1: Control concepts: a non-mathematical introduction
Chapter 2: Control design ideas: a non-mathematical treatment
Chapter 3: Synthesis of automatic feedback control loops: a more quantitative view
Chapter 4: How the Laplace transform greatly simplifies system representation and manipulation
Chapter 5: Frequency response methods
Chapter 6: Mathematical modelling
Chapter 7: Limits to performance
Chapter 8: Some practical aspects of control design, justification and implementation
Chapter 9: Linearisation
Chapter 10: Multivariable linear processes
Chapter 11: Discrete time and computer control
Chapter 12: State estimation: the Kalman filter and prediction
Chapter 13: Non-linearity
Chapter 14: Optimisation
Chapter 15: Distributed systems
Chapter 16: An introduction to robust control design using Hinfinity methods
Chapter 17: Neural networks, fuzzy logic, genetic algorithms, learning systems intelligent systems
Chapter 18: Review - the development of control theory and the emergence artificial intelligence (AI) techniques
Chapter 19: References and further reading
Chapter 2: Control design ideas: a non-mathematical treatment
Chapter 3: Synthesis of automatic feedback control loops: a more quantitative view
Chapter 4: How the Laplace transform greatly simplifies system representation and manipulation
Chapter 5: Frequency response methods
Chapter 6: Mathematical modelling
Chapter 7: Limits to performance
Chapter 8: Some practical aspects of control design, justification and implementation
Chapter 9: Linearisation
Chapter 10: Multivariable linear processes
Chapter 11: Discrete time and computer control
Chapter 12: State estimation: the Kalman filter and prediction
Chapter 13: Non-linearity
Chapter 14: Optimisation
Chapter 15: Distributed systems
Chapter 16: An introduction to robust control design using Hinfinity methods
Chapter 17: Neural networks, fuzzy logic, genetic algorithms, learning systems intelligent systems
Chapter 18: Review - the development of control theory and the emergence artificial intelligence (AI) techniques
Chapter 19: References and further reading
