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Linear Control Theory
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Linear Control Theory : Structure, Robustness, and Optimization

by Aniruddha Datta , Lee H. Keel , Shankar P. Bhattacharyya

Book Details

Format Hardback or Cased Book
Book Series Automation and Control Engineering
ISBN-10 0849340632
ISBN-13 9780849340635
Publisher Taylor & Francis Inc
Imprint CRC Press Inc
Country of Manufacture US
Country of Publication GB
Publication Date Jan 30th, 2009
Print length 930 Pages
Weight 1,383 grams
Product Classification: Mechanical engineering Power generation & distribution
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Covers three major areas of control engineering (PID control, robust control, and optimal control). This book covers elegant mathematical theory and useful engineering-oriented results. It develops results relating to the design of PID and first-order controllers for continuous and discrete-time linear systems with possible delays.

Successfully classroom-tested at the graduate level, Linear Control Theory: Structure, Robustness, and Optimization covers three major areas of control engineering (PID control, robust control, and optimal control). It provides balanced coverage of elegant mathematical theory and useful engineering-oriented results.

The first part of the book develops results relating to the design of PID and first-order controllers for continuous and discrete-time linear systems with possible delays. The second section deals with the robust stability and performance of systems under parametric and unstructured uncertainty. This section describes several elegant and sharp results, such as Kharitonov’s theorem and its extensions, the edge theorem, and the mapping theorem. Focusing on the optimal control of linear systems, the third part discusses the standard theories of the linear quadratic regulator, Hinfinity  and l1 optimal control, and associated results.

Written by recognized leaders in the field, this book explains how control theory can be applied to the design of real-world systems. It shows that the techniques of three term controllers, along with the results on robust and optimal control, are invaluable to developing and solving research problems in many areas of engineering.

 

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