Using clear tutorial examples, this fully updated new edition concentrates on explaining and illustrating the concepts that are at the heart of control theory.
It seeks to develop a robust understanding of the underlying principles around which the control subject is built. This simple framework is studded with references to more detailed treatments and also has interludes that are intended to inform and entertain.
The book is intended as a companion on the journey through control theory and although the early chapters concentrate on fundamental ideas such as feedback and stability, later chapters deal with more advanced topics such as state variables, optimisation, estimation, Kalman filtering and robust control.
Reihe
Auflage
Sprache
Verlagsort
Zielgruppe
Produkt-Hinweis
Fadenheftung
Gewebe-Einband
Maße
Höhe: 240 mm
Breite: 161 mm
Dicke: 29 mm
Gewicht
ISBN-13
978-1-84919-227-9 (9781849192279)
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 Klassifikation
Professor James Ron Leigh (C Eng., C Math., FIET, FIMA) studied Electrical Engineering at Sheffield College of Technology, winning the Freshgate Scholarship. He has an MSc in Maths and a PhD in Control Engineering. He worked as a Systems Engineer at United Steel Companies and as Head of Control Systems Development at British Steels Corporate Labs. As Post-Above-Reader at the University of Westminster, he set up university-wide interdisciplinary research projects and was Founder/Director of the Industrial Control Centre and the Government/Industry funded Advanced Control Club. His specialisation continues to be assisting the transfer of useful technology from academia to industry. He has served the IET in several capacities, particularly in relation to control applied to biotechnology.
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: Non-linear systems
Chapter 8: Limits to performance
Chapter 9: Some practical aspects of control design, implementation and justification
Chapter 10: Discrete time and digital control systems
Chapter 11: Multivariable linear systems and the state space approach
Chapter 12: Links between state space and classical viewpoints
Chapter 13: Optimisation
Chapter 14: State estimation: observers and the Kalman filter and prediction
Chapter 15: An introduction to robust control design using Hinfinity and related methods
Chapter 16: A miscellany of control techniques
Chapter 17: Review: the development of the control systems discipline and the mathematical roots of control systems theory
Chapter 18: Resources, references and further reading
Chapter 19: Appendix A: Case histories
