LEADER 02944 am 2200841 n 450 001 9910552896303321 005 20210924 010 $a2-7288-0974-7 024 7 $a10.4000/books.editionsulm.7127 035 $a(CKB)5860000000015016 035 $a(FrMaCLE)OB-editionsulm-7127 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/85134 035 $a(PPN)26039887X 035 $a(EXLCZ)995860000000015016 100 $a20220125j|||||||| ||| 0 101 0 $afre 135 $auu||||||m|||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSciences de l?homme et conquête coloniale /$fDaniel Nordman, Jean-Pierre Raison 210 $aParis $cÉditions Rue d?Ulm$d2021 215 $a1 online resource (268 p.) 225 1 $aActes de la recherche à l?ENS 330 $aL?ouvrage relève d?une approche interdisciplinaire où historiens, anthropologues et géographes participent à une analyse diachronique des élaborations et applications politiques des sciences humaines en Afrique au XIXe siècle. 606 $aHistory 606 $ahistoire coloniale 606 $ainstrumentalisation 606 $acolonie d?Afrique du Nord 606 $aEmpire Romain 606 $apolitique colonialiste 606 $asciences humaines et contrôle territorial 606 $ale bon sauvage 606 $aracisme étatique 606 $apropagande colonialiste 610 $ahistoire coloniale 610 $ainstrumentalisation 610 $acolonie d?Afrique du Nord 610 $aEmpire Romain 610 $apolitique colonialiste 610 $asciences humaines et contrôle territorial 610 $ale bon sauvage 610 $aracisme étatique 610 $apropagande colonialiste 615 4$aHistory 615 4$ahistoire coloniale 615 4$ainstrumentalisation 615 4$acolonie d?Afrique du Nord 615 4$aEmpire Romain 615 4$apolitique colonialiste 615 4$asciences humaines et contrôle territorial 615 4$ale bon sauvage 615 4$aracisme étatique 615 4$apropagande colonialiste 700 $aBenabou$b Marcel$0434143 701 $aBrasseur$b Paule$01297819 701 $aChrétien$b Jean-Pierre$0421967 701 $aFrémeaux$b Jacques$0465891 701 $aGautier$b Arlette$01298345 701 $aM?Bokolo$b Elikia$0244052 701 $aNordman$b Daniel$0537820 701 $aNouschi$b André$0173138 701 $aPruneddu$b Jacky$01329244 701 $aRaison$b Jean-Pierre$0272186 701 $aRivet$b Daniel$0443411 701 $aSchlemmer$b Bernard$0244589 701 $aNordman$b Daniel$0537820 701 $aRaison$b Jean-Pierre$0272186 801 0$bFR-FrMaCLE 906 $aBOOK 912 $a9910552896303321 996 $aSciences de l?homme et conquête coloniale$93039357 997 $aUNINA LEADER 03985nam 2200661 a 450 001 9910437921303321 005 20200520144314.0 010 $a9781283696975 010 $a1283696975 010 $a9781447143512 010 $a1447143515 024 7 $a10.1007/978-1-4471-4351-2 035 $a(CKB)2670000000277593 035 $a(EBL)994430 035 $a(OCoLC)813837898 035 $a(SSID)ssj0000767048 035 $a(PQKBManifestationID)11421291 035 $a(PQKBTitleCode)TC0000767048 035 $a(PQKBWorkID)10739612 035 $a(PQKB)11410718 035 $a(DE-He213)978-1-4471-4351-2 035 $a(MiAaPQ)EBC994430 035 $a(PPN)168293269 035 $a(EXLCZ)992670000000277593 100 $a20121008d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aHybrid predictive control for dynamic transport problems /$fAlfredo A. Nunez, Doris A. Saez, Cristian E. Cortes 205 $a1st ed. 2013. 210 $aLondon $cSpringer$d2013 215 $a1 online resource (182 p.) 225 0$aAdvances in industrial control,$x1430-9491 300 $aDescription based upon print version of record. 311 08$a9781447159407 311 08$a1447159403 311 08$a9781447143505 311 08$a1447143507 320 $aIncludes bibliographical references and index. 327 $aHybrid Predictive Control: Mono-objective and Multi-objective Design -- Hybrid Predictive Control for a Dial-a-ride System -- Hybrid Predictive Control for Operational Decisions in Public Transport Systems. 330 $aHybrid Predictive Control for Dynamic Transport Problems develops methods for the design of predictive control strategies for nonlinear-dynamic hybrid discrete-/continuous-variable systems. The methodology is designed for real-time applications, particularly the study of dynamic transport systems. Operational and service policies are considered, as well as cost reduction. The control structure is based on a sound definition of the key variables and their evolution. A flexible objective function able to capture the predictive behaviour of the system variables is described. Coupled with efficient algorithms, mainly drawn from the area of computational intelligence, this is shown to optimize performance indices for real-time applications. The framework of the proposed predictive control methodology is generic and, being able to solve nonlinear mixed-integer optimization problems dynamically, is readily extendable to other industrial processes. The main topics of this book are: ?hybrid predictive control (HPC) design based on evolutionary multiobjective optimization (EMO); ?HPC based on EMO for dial-a-ride systems; and ?HPC based on EMO for operational decisions in public transport systems. Hybrid Predictive Control for Dynamic Transport Problems is a comprehensive analysis of HPC and its application to dynamic transport systems. Introductory material on evolutionary algorithms is presented in summary in an appendix. The text will be of interest to control and transport engineers working on the operational optimization of transport systems and to academic researchers working with hybrid systems. The potential applications of the generic methods presented here in other process fields will appeal to a wider group of researchers, scientists and graduate students working in other control-related disciplines. 410 0$aAdvances in Industrial Control,$x1430-9491 606 $aControl theory 615 0$aControl theory. 676 $a629.8 676 $a629.836 700 $aNunez$b Alfredo A$01750355 701 $aSaez$b Doris A$01750356 701 $aCortes$b Cristian E$01750357 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437921303321 996 $aHybrid predictive control for dynamic transport problems$94184981 997 $aUNINA