LEADER 03985nam 2200625 a 450 001 9911006675703321 005 20241120175051.0 010 $a1-68015-786-8 010 $a1-61197-225-6 024 7 $a10.1137/1.9781611972252 035 $a(CKB)3190000000083485 035 $a(CaBNVSL)thg00904545 035 $a(SIAM)9781611972252 035 $a(SSID)ssj0000754851 035 $a(PQKBManifestationID)12294404 035 $a(PQKBTitleCode)TC0000754851 035 $a(PQKBWorkID)10726562 035 $a(PQKB)10735381 035 $a(PPN)191887161 035 $a(EXLCZ)993190000000083485 071 50$aDC23$bSIAM 100 $a20120806d2012 uy 0 101 0 $aeng 135 $aurbn||||m|||a 181 $ctxt 182 $cc 183 $acr 200 00$aControl and optimization with differential-algebraic constraints /$fedited by Lorenz T. Biegler, Stephen L. Campbell, Volker Mehrmann 210 $aPhiladelphia, Pa. $cSociety for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104)$d2012 215 $a1 electronic text (xii, 344 p.) $cdigital file 225 1 $aAdvances in design and control 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a1-61197-224-8 320 $aIncludes bibliographical references and index. 327 $a1. DAEs, control, and optimization -- 2. Regularization of linear and nonlinear descriptor systems -- 3. Notes on linearization of DAEs and on optimization with differential-algebraic constraints -- 4. Spectra and leading directions for linear DAEs -- 5. StratiGraph tool : matrix stratifications in control applications -- 6. Descriptor system techniques in solving H2-optimal fault detection and isolation problems -- 7. Normal forms, high-gain, and funnel control for linear differential-algebraic systems -- 8. Linear-quadratic optimal control problems with switch points and a small parameter -- 9. Mixed-integer DAE optimal control problems : necessary conditions and bounds -- 10. Optimal control of a delay PDE -- 11. Direct transcription with moving finite elements -- 12. Solving parameter estimation problems with SOCX -- 13. Control of integrated chemical process systems using underlying DAE models -- 14. DMPC for building temperature regulation -- 15. Dynamic regularization, level set shape optimization, and computed myography -- 16. The application of Pontryagin's minimum principle for endpoint optimization of batch processes. 330 3 $aDifferential-algebraic equations are the most natural way to mathematically model many complex systems in science and engineering. Once the model is derived, it is important to optimize the design parameters and control it in the most robust and efficient way to maximize performance. This book presents the latest theory and numerical methods for the optimal control of differential-algebraic equations. The following features are presented in a readable fashion so the results are accessible to the widest audience: the most recent theory, written by leading experts from a number of academic and nonacademic areas and departments; several state-of-the-art numerical methods; and real-world applications. 410 0$aAdvances in design and control. 606 $aDifferential-algebraic equations 606 $aControl theory 606 $aMathematical optimization 615 0$aDifferential-algebraic equations. 615 0$aControl theory. 615 0$aMathematical optimization. 676 $a512/.56 701 $aBiegler$b Lorenz T$0619818 701 $aCampbell$b S. L$g(Stephen La Vern)$0104577 701 $aMehrmann$b V. L$g(Volker Ludwig),$f1955-$0755675 712 02$aSociety for Industrial and Applied Mathematics. 801 0$bCaBNVSL 801 1$bCaBNVSL 801 2$bCaBNVSL 906 $aBOOK 912 $a9911006675703321 996 $aControl and optimization with differential-algebraic constraints$94391278 997 $aUNINA