Linear Control Theory Structure, Robustness, and Optimization |
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| Author:
| Bhattacharyya, Shankar P.
Datta, Aniruddha
Keel, Lee H. |
| Series title: | Automation and Control Engineering Ser. |
| ISBN: | 978-1-351-83707-1 |
| Publication Date: | Oct 2018 |
| Publisher: | Taylor & Francis Group
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| Imprint: | CRC Press |
| Book Format: | Ebook |
| List Price: | USD $170.00USD $345.00USD $255.00 |
Book Description:
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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...
More Description
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, Hinfinitynbsp; 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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