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Control theory tutorial = basic conc...

Frank, Steven A.

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Control theory tutorial = basic concepts illustrated by software examples /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Control theory tutorial/ by Steven A. Frank.
Reminder of title:	basic concepts illustrated by software examples /
Author:	Frank, Steven A.
Published:	Cham :Springer International Publishing : : 2018.,
Description:	xi, 111 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Part I: Basic Principles -- Part II: Design Tradeoffs -- Part III: Common Challenges.
Contained By:	Springer eBooks
Subject:	Control theory. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-91707-8
ISBN:	9783319917078

Control theory tutorial = basic concepts illustrated by software examples /
Frank, Steven A.

Control theory tutorialbasic concepts illustrated by software examples /[electronic resource] :by Steven A. Frank. - Cham :Springer International Publishing :2018. - xi, 111 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-530X. - SpringerBriefs in applied sciences and technology..

Introduction -- Part I: Basic Principles -- Part II: Design Tradeoffs -- Part III: Common Challenges.

Open access.

This open access brief introduces the basic principles of control theory in a concise self-study guide. It complements the classic texts by emphasizing the simple conceptual unity of the subject. A novice can quickly see how and why the different parts fit together. The concepts build slowly and naturally one after another, until the reader soon has a view of the whole. Each concept is illustrated by detailed examples and graphics. The full software code for each example is available, providing the basis for experimenting with various assumptions, learning how to write programs for control analysis, and setting the stage for future research projects. The topics focus on robustness, design trade-offs, and optimality. Most of the book develops classical linear theory. The last part of the book considers robustness with respect to nonlinearity and explicitly nonlinear extensions, as well as advanced topics such as adaptive control and model predictive control. New students, as well as scientists from other backgrounds who want a concise and easy-to-grasp coverage of control theory, will benefit from the emphasis on concepts and broad understanding of the various approaches.

ISBN: 9783319917078

Standard No.: 10.1007/978-3-319-91707-8doiSubjects--Topical Terms:

535880
Control theory.

LC Class. No.: QA402.3 / .F73 2018

Dewey Class. No.: 629.8312

Control theory tutorial = basic concepts illustrated by software examples /
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245 1 0 $a Control theory tutorial $h [electronic resource] : $b basic concepts illustrated by software examples / $c by Steven A. Frank.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xi, 111 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in applied sciences and technology, $x 2191-530X
505 0 $a Introduction -- Part I: Basic Principles -- Part II: Design Tradeoffs -- Part III: Common Challenges.
506 $a Open access.
520 $a This open access brief introduces the basic principles of control theory in a concise self-study guide. It complements the classic texts by emphasizing the simple conceptual unity of the subject. A novice can quickly see how and why the different parts fit together. The concepts build slowly and naturally one after another, until the reader soon has a view of the whole. Each concept is illustrated by detailed examples and graphics. The full software code for each example is available, providing the basis for experimenting with various assumptions, learning how to write programs for control analysis, and setting the stage for future research projects. The topics focus on robustness, design trade-offs, and optimality. Most of the book develops classical linear theory. The last part of the book considers robustness with respect to nonlinearity and explicitly nonlinear extensions, as well as advanced topics such as adaptive control and model predictive control. New students, as well as scientists from other backgrounds who want a concise and easy-to-grasp coverage of control theory, will benefit from the emphasis on concepts and broad understanding of the various approaches.
650 0 $a Control theory. $3 535880
650 0 $a Automatic control. $3 535879
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650 2 4 $a Control. $3 1006321
650 2 4 $a Systems Theory, Control. $3 893834
650 2 4 $a Mathematical and Computational Biology. $3 1566274
650 2 4 $a Mathematical Applications in the Physical Sciences. $3 1566152
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