LEADER 03589nam 22005535 450 001 9910254284803321 005 20220406234119.0 010 $a3-319-52932-3 024 7 $a10.1007/978-3-319-52932-5 035 $a(CKB)3710000001140766 035 $a(DE-He213)978-3-319-52932-5 035 $a(MiAaPQ)EBC4836599 035 $a(PPN)200513095 035 $a(EXLCZ)993710000001140766 100 $a20170404d2017 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDiscrete-time optimal control and games on large intervals /$fby Alexander J. Zaslavski 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (X, 398 p.) 225 1 $aSpringer Optimization and Its Applications,$x1931-6828 ;$v119 311 $a3-319-52931-5 320 $aIncludes bibliographical references and index. 330 $aDevoted to the structure of approximate solutions of discrete-time optimal control problems and approximate solutions of dynamic discrete-time two-player zero-sum games, this book presents results on properties of approximate solutions in an interval that is independent lengthwise, for all sufficiently large intervals. Results concerning the so-called turnpike property of optimal control problems and zero-sum games in the regions close to the endpoints of the time intervals are the main focus of this book. The description of the structure of approximate solutions on sufficiently large intervals and its stability will interest graduate students and mathematicians in optimal control and game theory, engineering, and economics. This book begins with a brief overview and moves on to analyze the structure of approximate solutions of autonomous nonconcave discrete-time optimal control Lagrange problems.Next the structures of approximate solutions of autonomous discrete-time optimal control problems that are discrete-time analogs of Bolza problems in calculus of variations are studied. The structures of approximate solutions of two-player zero-sum games are analyzed through standard convexity-concavity assumptions. Finally, turnpike properties for approximate solutions in a class of nonautonomic dynamic discrete-time games with convexity-concavity assumptions are examined. 410 0$aSpringer Optimization and Its Applications,$x1931-6828 ;$v119 606 $aCalculus of variations 606 $aSystem theory 606 $aOperations research 606 $aManagement science 606 $aCalculus of Variations and Optimal Control; Optimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26016 606 $aSystems Theory, Control$3https://scigraph.springernature.com/ontologies/product-market-codes/M13070 606 $aOperations Research, Management Science$3https://scigraph.springernature.com/ontologies/product-market-codes/M26024 615 0$aCalculus of variations. 615 0$aSystem theory. 615 0$aOperations research. 615 0$aManagement science. 615 14$aCalculus of Variations and Optimal Control; Optimization. 615 24$aSystems Theory, Control. 615 24$aOperations Research, Management Science. 676 $a515.64 700 $aZaslavski$b Alexander J$4aut$4http://id.loc.gov/vocabulary/relators/aut$0721713 906 $aBOOK 912 $a9910254284803321 996 $aDiscrete-Time Optimal Control and Games on Large Intervals$91562375 997 $aUNINA