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020 _a9783319784793
_9978-3-319-78479-3
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
072 7 _aTJFM
_2thema
082 0 4 _a629.8
_223
100 1 _aBelov, Alexey A.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aControl of Discrete-Time Descriptor Systems
_h[electronic resource] :
_bAn Anisotropy-Based Approach /
_cby Alexey A. Belov, Olga G. Andrianova, Alexander P. Kurdyukov.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXX, 169 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Systems, Decision and Control,
_x2198-4182 ;
_v157
500 _aAcceso multiusuario
505 0 _aPractical Application of Descriptor Systems -- Basics of Discrete-time Descriptor Systems Theory -- Anisotropy-based Analysis of LDTI Descriptor Systems -- Optimal Control -- Suboptimal Control -- Anisotropy-based Analysis for LDTI Descriptor Systems with Nonzero-Mean Input Signals -- Robust Anisotropy-based Control.
520 _aControl of Discrete-Time Descriptor Systems takes an anisotropy-based approach to the explanation of random input disturbance with an information-theoretic representation. It describes the random input signal more precisely, and the anisotropic norm minimization included in the book enables readers to tune their controllers better through the mathematical methods provided. The book contains numerous examples of practical applications of descriptor systems in various fields, from robotics to economics, and presents an information-theoretic approach to the mathematical description of coloured noise. Anisotropy-based analysis and design for descriptor systems is supplied along with proofs of basic statements, which help readers to understand the algorithms proposed, and to undertake their own numerical simulations. This book serves as a source of ideas for academic researchers and postgraduate students working in the control of discrete-time systems. The control design procedures outlined are numerically effective and easily implementable in MATLAB®.
541 _fUABC ;
_cTemporal ;
_d01/01/2021-12/31/2023.
650 0 _aControl engineering.
650 0 _aSystem theory.
650 0 _aMathematical optimization.
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 _aDiscrete Optimization.
_0https://scigraph.springernature.com/ontologies/product-market-codes/M26040
700 1 _aAndrianova, Olga G.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aKurdyukov, Alexander P.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319784786
776 0 8 _iPrinted edition:
_z9783319784809
776 0 8 _iPrinted edition:
_z9783030087098
830 0 _aStudies in Systems, Decision and Control,
_x2198-4182 ;
_v157
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-319-78479-3
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cLIBRO_ELEC
999 _c243241
_d243240