+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)


Control Theory. Edition No. 2. Control, Robotics and Sensors - Product Image

Control Theory. Edition No. 2. Control, Robotics and Sensors

  • ID: 3527860
  • Book
  • September 2011
  • IET Books
1 of 3

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.

Note: Product cover images may vary from those shown
2 of 3
- 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
Note: Product cover images may vary from those shown
3 of 3
J.R. Leigh Professor Associate in Control Engineering.
Brunel University, UK.

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.

Note: Product cover images may vary from those shown