國立虎尾科技大學 |

Control Theory Tutorial = Basic Concepts Illustrated by Software Examples /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Control Theory Tutorial/ by Steven A. Frank.
Reminder of title:	Basic Concepts Illustrated by Software Examples /
Author:	Frank, Steven A.
Description:	XI, 111 p. 32 illus., 22 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Control engineering. -
Online resource:	https://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. - 1st ed. 2018. - XI, 111 p. 32 illus., 22 illus. in color.online resource. - 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:

1249728
Control engineering.

LC Class. No.: TJ212-225

Dewey Class. No.: 629.8

Control Theory Tutorial = Basic Concepts Illustrated by Software Examples /
LDR:02728nam a22004215i 4500 001 988817
003 DE-He213
005 20200704020603.0
007 cr nn 008mamaa
008 201225s2018 gw | s |||| 0|eng d
020 $a 9783319917078 $9 978-3-319-91707-8
024 7 $a 10.1007/978-3-319-91707-8 $2 doi
035 $a 978-3-319-91707-8
050 4 $a TJ212-225
072 7 $a TJFM $2 bicssc
072 7 $a TEC004000 $2 bisacsh
072 7 $a TJFM $2 thema
082 0 4 $a 629.8 $2 23
100 1 $a Frank, Steven A. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1204869
245 1 0 $a Control Theory Tutorial $h [electronic resource] : $b Basic Concepts Illustrated by Software Examples / $c by Steven A. Frank.
250 $a 1st ed. 2018.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a XI, 111 p. 32 illus., 22 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
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 0 $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 engineering. $3 1249728
650 0 $a System theory. $3 566168
650 0 $a Biomathematics. $3 527725
650 0 $a Mathematical physics. $3 527831
650 0 $a Finance—Mathematics. $3 1280894
650 1 4 $a Control and Systems Theory. $3 1211358
650 2 4 $a Systems Theory, Control. $3 669337
650 2 4 $a Mathematical and Computational Biology. $3 786706
650 2 4 $a Mathematical Applications in the Physical Sciences. $3 786649
650 2 4 $a Financial Mathematics. $3 1204870
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319917061
776 0 8 $i Printed edition: $z 9783319917085
830 0 $a SpringerBriefs in Applied Sciences and Technology, $x 2191-530X $3 1253575
856 4 0 $u https://doi.org/10.1007/978-3-319-91707-8
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
912 $a ZDB-2-SOB
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)