J R Leigh
Control Theory
J R Leigh
Control Theory
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This fully revised and updated edition discusses how the rise of H infinity and similar approaches has allowed a combination of practicality, rigour and user interaction to be brought to bear on complex control problems and has helped bridge the gap between control theory and practice.
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This fully revised and updated edition discusses how the rise of H infinity and similar approaches has allowed a combination of practicality, rigour and user interaction to be brought to bear on complex control problems and has helped bridge the gap between control theory and practice.
Produktdetails
- Produktdetails
- Verlag: Institution of Engineering & Technology
- 2nd Revised edition
- Seitenzahl: 320
- Erscheinungstermin: 1. Dezember 2004
- Englisch
- Abmessung: 234mm x 156mm x 17mm
- Gewicht: 449g
- ISBN-13: 9780863413391
- ISBN-10: 0863413390
- Artikelnr.: 51802844
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Verlag: Institution of Engineering & Technology
- 2nd Revised edition
- Seitenzahl: 320
- Erscheinungstermin: 1. Dezember 2004
- Englisch
- Abmessung: 234mm x 156mm x 17mm
- Gewicht: 449g
- ISBN-13: 9780863413391
- ISBN-10: 0863413390
- Artikelnr.: 51802844
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
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.
* 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
* 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