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010   $a3-319-91707-2
024 7 $a10.1007/978-3-319-91707-8
035   $a(CKB)4100000004243994
035   $a(DE-He213)978-3-319-91707-8
035   $a(MiAaPQ)EBC5435237
035   $a(Au-PeEL)EBL5435237
035   $a(OCoLC)1040617357
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/44033
035   $a(PPN)22740422X
035   $a(EXLCZ)994100000004243994
100   $a20180529d2018      u|         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aControl Theory Tutorial $eBasic Concepts Illustrated by Software Examples /$fby Steven A. Frank
205   $a1st ed. 2018.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018.
215   $a1 online resource (XI, 111 p. 32 illus., 22 illus. in color.)
225 1 $aSpringerBriefs in Applied Sciences and Technology,$x2191-5318
311   $a3-319-91706-4 
327   $aIntroduction -- Part I: Basic Principles -- Part II: Design Tradeoffs -- Part III: Common Challenges.
330   $aThis open access brief introduces the basic principles of control theory in a concise self-study guide. It complements the classic texts by emphasizing the simple conceptual unity of the subject. A novice can quickly see how and why the different parts fit together. The concepts build slowly and naturally one after another, until the reader soon has a view of the whole. Each concept is illustrated by detailed examples and graphics. The full software code for each example is available, providing the basis for experimenting with various assumptions, learning how to write programs for control analysis, and setting the stage for future research projects. The topics focus on robustness, design trade-offs, and optimality. Most of the book develops classical linear theory. The last part of the book considers robustness with respect to nonlinearity and explicitly nonlinear extensions, as well as advanced topics such as adaptive control and model predictive control. New students, as well as scientists from other backgrounds who want a concise and easy-to-grasp coverage of control theory, will benefit from the emphasis on concepts and broad understanding of the various approaches.
410  0$aSpringerBriefs in Applied Sciences and Technology,$x2191-5318
606   $aControl engineering
606   $aSystem theory
606   $aControl theory
606   $aBiomathematics
606   $aMathematical physics
606   $aSocial sciences$xMathematics
606   $aControl and Systems Theory
606   $aSystems Theory, Control 
606   $aMathematical and Computational Biology
606   $aMathematical Physics
606   $aMathematics in Business, Economics and Finance
615  0$aControl engineering.
615  0$aSystem theory.
615  0$aControl theory.
615  0$aBiomathematics.
615  0$aMathematical physics.
615  0$aSocial sciences$xMathematics.
615 14$aControl and Systems Theory.
615 24$aSystems Theory, Control .
615 24$aMathematical and Computational Biology.
615 24$aMathematical Physics.
615 24$aMathematics in Business, Economics and Finance.
676   $a629.8
700   $aFrank$b Steven A$4aut$4http://id.loc.gov/vocabulary/relators/aut$0979845
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910293143503321
996   $aControl Theory Tutorial$92234747
997   $aUNINA