LEADER 02518nam 2200613 a 450 001 9911006678603321 005 20241120174714.0 010 $a0-89871-857-0 010 $a1-61583-478-8 024 7 $aDC19 035 $a(CKB)2580000000000547 035 $a(CaBNVSL)slc00225416 035 $a(SIAM)9780898718577 035 $a(SSID)ssj0000403984 035 $a(PQKBManifestationID)12112026 035 $a(PQKBTitleCode)TC0000403984 035 $a(PQKBWorkID)10453188 035 $a(PQKB)10747871 035 $a(PPN)191685054 035 $a(EXLCZ)992580000000000547 071 50$aDC19$bSIAM 100 $a20101020d2010 uy 0 101 0 $aeng 135 $aurbn||||m|||a 181 $ctxt 182 $cc 183 $acr 200 10$aPractical methods for optimal control and estimation using nonlinear programming /$fJohn T. Betts 205 $a2nd ed. 210 $aPhiladelphia, Pa. $cSociety for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104)$d2010 215 $a1 electronic text (xiv, 434 p.) $cill., digital file 225 1 $aAdvances in design and control 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-89871-688-8 320 $aIncludes bibliographical references and index. 327 $aIntroduction to Nonlinear Programming -- Large, Sparse Nonlinear Programming -- Optimal Control Preliminaries -- The Optimal Control Problem -- Parameter Estimation -- Optimal Control Examples -- Advanced Applications -- Epilogue -- Appendix : Software. 330 3 $aThe book describes how sparse optimization methods can be combined with discretization techniques for differential-algebraic equations and used to solve optimal control and estimation problems. The interaction between optimization and integration is emphasized throughout the book. 410 0$aAdvances in design and control. 606 $aControl theory 606 $aMathematical optimization 606 $aNonlinear programming 615 0$aControl theory. 615 0$aMathematical optimization. 615 0$aNonlinear programming. 676 $a629.8/312 700 $aBetts$b John T.$f1943-$0760538 712 02$aSociety for Industrial and Applied Mathematics. 801 0$bCaBNVSL 801 1$bCaBNVSL 801 2$bCaBNVSL 906 $aBOOK 912 $a9911006678603321 996 $aPractical methods for optimal control and estimation using nonlinear programming$94391291 997 $aUNINA