LEADER 03641nam 22005895 450 001 9910299938003321 005 20200703161523.0 010 $a3-319-78479-X 024 7 $a10.1007/978-3-319-78479-3 035 $a(CKB)4100000003359593 035 $a(MiAaPQ)EBC5438765 035 $a(DE-He213)978-3-319-78479-3 035 $a(PPN)226697614 035 $a(EXLCZ)994100000003359593 100 $a20180425d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aControl of Discrete-Time Descriptor Systems $eAn Anisotropy-Based Approach /$fby Alexey A. Belov, Olga G. Andrianova, Alexander P. Kurdyukov 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (184 pages) 225 1 $aStudies in Systems, Decision and Control,$x2198-4182 ;$v157 311 $a3-319-78478-1 327 $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. 330 $aControl of Discrete-Time Descriptor Systems takes an anisotropy-based approach to the explanation of random input disturbance with an information-theoretic representation. It describes the random input signal more precisely, and the anisotropic norm minimization included in the book enables readers to tune their controllers better through the mathematical methods provided. The book contains numerous examples of practical applications of descriptor systems in various fields, from robotics to economics, and presents an information-theoretic approach to the mathematical description of coloured noise. Anisotropy-based analysis and design for descriptor systems is supplied along with proofs of basic statements, which help readers to understand the algorithms proposed, and to undertake their own numerical simulations. This book serves as a source of ideas for academic researchers and postgraduate students working in the control of discrete-time systems. The control design procedures outlined are numerically effective and easily implementable in MATLABŪ. 410 0$aStudies in Systems, Decision and Control,$x2198-4182 ;$v157 606 $aAutomatic control 606 $aSystem theory 606 $aMathematical optimization 606 $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010 606 $aSystems Theory, Control$3https://scigraph.springernature.com/ontologies/product-market-codes/M13070 606 $aDiscrete Optimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26040 615 0$aAutomatic control. 615 0$aSystem theory. 615 0$aMathematical optimization. 615 14$aControl and Systems Theory. 615 24$aSystems Theory, Control. 615 24$aDiscrete Optimization. 676 $a003.83 700 $aBelov$b Alexey A$4aut$4http://id.loc.gov/vocabulary/relators/aut$01059712 702 $aAndrianova$b Olga G$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aKurdyukov$b Alexander P$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299938003321 996 $aControl of Discrete-Time Descriptor Systems$92507722 997 $aUNINA