Control theory /

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Bibliographic Details
Author / Creator:	Leigh, J. R. (James R.)
Edition:	2nd ed.
Imprint:	London : Institution of Electrical Engineers, ©2004.
Description:	1 online resource (xxi, 297 pages) : illustrations.
Language:	English
Series:	IEE control engineering series ; 64 IEE control engineering series ; v. 64.
Subject:	Automatic control. Control theory. Automatic control. Control theory. Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11280814

Hidden Bibliographic Details
Other authors / contributors:	Institution of Electrical Engineers.
ISBN:	0863413323 9780863413322 0863413390 9780863413391 9781849190541 1849190542 1601190743 9781601190741
Digital file characteristics:	data file
Notes:	Includes bibliographical references (pages 264-283) and index. Access restricted to Ryerson students, faculty and staff. English.
Summary:	This fully revised and updated edition of ""Control Theory"" addresses recent developments in the field. It discusses how the rise of H8 and similar approaches has allowed a combination of practicality, rigor and user interaction to be brought to bear on complex control problems and has helped bridge the gap between control theory and practice. The book also examines the effects of the rise of artificial intelligence techniques and the increasing availability of comprehensive software packages. The book concentrates on the structure, principles and context of control theory, and will be of int.
Other form:	Print version: Leigh, J.R. (James R.). Control theory. 2nd ed. London : Institution of Electrical Engineers, ©2004
Standard no.:	99807996283

Table of Contents:

Introduction to Second Edition
Control Concepts: A Non-Mathematical Introduction
Control Design Ideas: A Non-Mathematical Treatment
Synthesis of Automatic Feedback Control Loops: A More Quantitative View
How the Laplance Transform Greatly Simplifies System Representation and Manipulation
Frequency Response Methods
Mathematical Modelling
Limits to Performance
Some Practical Aspects of Control Design, Justification and Implementation
Linearisation
Multivariable Linear Processes
Discrete Time and Computer Control
State Estimation: The Kalman Filter and Prediction
Nonlinearity
Optimisation
Distributed Systems Introduction to Robust Control
Design Using Hoo Methods
Neural Networks
Fuzzy Logic
Genetic Algorithms
Learning Systems
Intelligent Systems
Review - The Development of Control Theory and the Emergence of Artificial Intelligence (AI) Techniques
Reference and Further Reading
Index

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