Control Theory

by J R Leigh

Overview

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.

Product Details

ISBN-13:	9780863413391
Publisher:	Institution of Engineering & Technology
Publication date:	12/01/2004
Series:	Control, Robotics and Sensors
Edition description:	2nd Revised ed.
Pages:	320
Product dimensions:	6.10(w) x 9.10(h) x 0.70(d)

About the Author

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.

Table of Contents

Control concepts - a non-mathematical approach
control design ideas - a non-mathematical treatment
synthesis of automatic feedback loops - a more quantitative view
how the Laplace transform greatly simplifies system representation and manipulation
frequency response methods
mathematical modelling
limits to performance
further simple ideas of control and feedback
linearization
multivariable linear processes
discrete time and computer control
state estimation and the Kalman filter
nonlinearity
optimization
distributed systems.

Editorial Reviews

For students or professionals in science, math, or industry--with or without a background in control theory--explains and illustrates the basic concepts underlying the theory, with references to more detailed treatments. Intended as a companion to more traditional approaches, begins with simple concepts such as feedback and stability, and advances to optimization, distributed parameter systems, and other complex ideas. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Booknews