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020 _a9783319784793
_9978-3-319-78479-3
024 7 _a10.1007/978-3-319-78479-3
_2doi
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aGPFC
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072 7 _aTEC004000
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082 0 4 _a629.8312
_223
082 0 4 _a003
_223
100 1 _aBelov, Alexey A.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_949393
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,
_x2198-4190 ;
_v157
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®.
650 0 _aControl engineering.
_931970
650 0 _aSystem theory.
_93409
650 0 _aControl theory.
_93950
650 0 _aMathematical optimization.
_94112
650 1 4 _aControl and Systems Theory.
_931972
650 2 4 _aSystems Theory, Control .
_931597
650 2 4 _aDiscrete Optimization.
_949394
700 1 _aAndrianova, Olga G.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_949395
700 1 _aKurdyukov, Alexander P.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_949396
710 2 _aSpringerLink (Online service)
_949397
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,
_x2198-4190 ;
_v157
_949398
856 4 0 _uhttps://doi.org/10.1007/978-3-319-78479-3
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c78402
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