000 03954nam a22006255i 4500
001 978-3-319-91707-8
003 DE-He213
005 20210201191322.0
007 cr nn 008mamaa
008 180529s2018 gw | s |||| 0|eng d
020 _a9783319917078
_9978-3-319-91707-8
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
072 7 _aTJFM
_2thema
082 0 4 _a629.8
_223
100 1 _aFrank, Steven A.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aControl Theory Tutorial
_h[electronic resource] :
_bBasic Concepts Illustrated by Software Examples /
_cby Steven A. Frank.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXI, 111 p. 32 illus., 22 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Applied Sciences and Technology,
_x2191-530X
500 _aAcceso multiusuario
505 0 _aIntroduction -- Part I: Basic Principles -- Part II: Design Tradeoffs -- Part III: Common Challenges.
506 0 _aOpen Access
520 _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.
541 _fUABC ;
_cTemporal ;
_d01/01/2021-12/31/2023.
650 0 _aControl engineering.
650 0 _aSystem theory.
650 0 _aBiomathematics.
650 0 _aMathematical physics.
650 0 _aFinance-Mathematics.
650 1 4 _aControl and Systems Theory.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T19010
650 2 4 _aSystems Theory, Control.
_0https://scigraph.springernature.com/ontologies/product-market-codes/M13070
650 2 4 _aMathematical and Computational Biology.
_0https://scigraph.springernature.com/ontologies/product-market-codes/M31000
650 2 4 _aMathematical Applications in the Physical Sciences.
_0https://scigraph.springernature.com/ontologies/product-market-codes/M13120
650 2 4 _aFinancial Mathematics.
_0https://scigraph.springernature.com/ontologies/product-market-codes/M13140
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319917061
776 0 8 _iPrinted edition:
_z9783319917085
830 0 _aSpringerBriefs in Applied Sciences and Technology,
_x2191-530X
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-319-91707-8
912 _aZDB-2-ENG
912 _aZDB-2-SXE
912 _aZDB-2-SOB
942 _cLIBRO_ELEC
999 _c242098
_d242097