LEADER 03497nam 2200457 450 001 9910823657203321 005 20230803043541.0 010 $a3-8325-9362-4 035 $a(CKB)4340000000244378 035 $a(MiAaPQ)EBC5247128 035 $a(Au-PeEL)EBL5247128 035 $a(CaPaEBR)ebr11539856 035 $a(OCoLC)1021807653 035 $a58a1c68a-a534-4072-91d8-3edeb0dd2d03 035 $a(EXLCZ)994340000000244378 100 $a20180521d2013 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aModel predictive control for nonlinear continuous-time systems with and without time-delays /$fvorgelegt von Marcus Reble 210 1$aBerlin :$cLogos,$d[2013] 210 4$dİ2013 215 $a1 online resource (162 pages) 300 $aPublicationDate: 20130410 311 $a3-8325-3381-8 330 $aLong description: The objective of this thesis is the development of novel model predictive control (MPC) schemes for nonlinear continuous-time systems with and without time-delays in the states which guarantee asymptotic stability of the closed-loop. The most well-studied MPC approaches with guaranteed stability use a control Lyapunov function as terminal cost. Since the actual calculation of such a function can be difficult, it is desirable to replace this assumption by a less restrictive controllability assumption. For discrete-time systems, the latter assumption has been used in the literature for the stability analysis of so-called unconstrained MPC, i.e., MPC without terminal cost and terminal constraints. The contributions of this thesis are twofold. In the first part, we propose novel MPC schemes with guaranteed stability based on a controllability assumption, whereas we extend different MPC schemes with guaranteed stability to nonlinear time-delay systems in the second part. In the first part of this thesis, we derive explicit stability conditions on the prediction horizon as well as performance guarantees for unconstrained MPC. Starting from this result, we propose novel alternative MPC formulations based on combinations of the controllability assumption with terminal cost and terminal constraints. One of the main contributions is the development of a unifying MPC framework which allows to consider both MPC schemes with terminal cost and terminal constraints as well as unconstrained MPC as limit cases of our framework. In the second part of this thesis, we show that several MPC schemes with and without terminal constraints can be extended to nonlinear time-delay systems. Due to the infinite-dimensional nature of these systems, the problem is more involved and additional assumptions are required in the controller design. We investigate different MPC schemes with and without terminal constraints and/or terminal cost terms and derive novel stability conditions. Furthermore, we pay particular attention to the calculation of the involved control design parameters. 606 $aPredictive control 606 $aTime delay systems 615 0$aPredictive control. 615 0$aTime delay systems. 676 $a629.8 700 $aReble$b Marcus$01690958 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910823657203321 996 $aModel predictive control for nonlinear continuous-time systems with and without time-delays$94067006 997 $aUNINA LEADER 01056nas 2200361 a 450 001 996336384203316 005 20240413021212.0 011 $a1662-9507 035 $a(OCoLC)60638494 035 $a(CKB)954928607147 035 $a(CONSER) 2011263323 035 $a(MiAaPQ)2040936 035 $a(EXLCZ)99954928607147 100 $a20050615a19889999 oy 101 0 $aeng 135 $aur|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aDiffusion and defect data$hPt. A$iDefect and diffusion forum $eDDF 210 $aAedermannsdorf, Switzerland $cTrans Tech Publications$dc1988- 210 2 $aZuerich-Uetikon, Switzerland $cScitec 210 3 $aStafa-Zuerich, Switzerland $cTrans Tech Publications 300 $aRefereed/Peer-reviewed 311 $a1012-0386 606 $aDiffusion 606 $aSolids$xDefects 615 0$aDiffusion. 615 0$aSolids$xDefects. 906 $aJOURNAL 912 $a996336384203316 996 $aDiffusion and defect data$92379867 997 $aUNISA LEADER 04552nam 22007455 450 001 9910742495703321 005 20251009071956.0 010 $a981-9945-62-3 010 $a9789819945627$belectronic book 010 $a9819945623$belectronic book 024 7 $a10.1007/978-981-99-4562-7 035 $a(MiAaPQ)EBC30721382 035 $a(Au-PeEL)EBL30721382 035 $a(DE-He213)978-981-99-4562-7 035 $a(CKB)28062345300041 035 $a(EXLCZ)9928062345300041 100 $a20230825d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDiscrete Choice Experiments Using R $eA How-To Guide for Social and Managerial Sciences /$fby Liang Shang, Yanto Chandra 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (xvi, 203 pages) $cillustrations (some color) 311 08$aPrint version: Shang, Liang Discrete Choice Experiments Using R Singapore : Springer,c2023 9789819945610 (OCoLC)1382625432 320 $aIncludes bibliographical references. 327 $aChapter 1. An Overview of Stated Preference Methods: What and Why -- Chapter 2. A Comparison of Stated Preference Methods -- Chapter 3. Understanding the Fundamentals of DCE Experiment -- Chapter 4. A Review of R and its Applicability DCE -- Chapter 5. Framing the Research Question and Theory -- Chapter 6. Identifying DCE Attributes and Levels -- Chapter 7. Designing DCE Choice Set using R -- Chapter 8. Designing DCE Survey and Collecting Data -- Chapter 9. Analysing DCE Data using R -- Chapter 10. Visualizing and Reporting DCE Data Using R. 330 $aThis book delivers a user guide reference for researchers seeking to build their capabilities in conducting discrete choice experiment (DCE). The book is born out of the observation of the growing popularity ? but lack of understanding ? of the techniques to investigate preferences. It acknowledges that these broader decision-making processes are often difficult, or sometimes, impossible to study using conventional methods. While DCE is more mature in certain fields, it is relatively new in disciplines within social and managerial sciences. This text addresses these gaps as the first ?how-to? handbook that discusses the design and application of DCE methodology using R for social and managerial science research. Whereas existing books on DCE are either research monographs or largely focused on technical aspects, this book offers a step-by-step application of DCE in R, underpinned by a theoretical discussion on the strengths and weaknesses of the DCE approach, with supporting examples of best practices. Relevant to a broad spectrum of emerging and established researchers who are interested in experimental research techniques, particularly those that pertain to the measurements of preferences and decision-making, it is also useful to policymakers, government officials, and NGOs working in social scientific spaces. 606 $aSociology$xMethodology 606 $aSocial sciences$xStatistical methods 606 $aExperimental design 606 $aSampling (Statistics) 606 $aPsychology 606 $aPsychology$xMethodology 606 $aSociological Methods 606 $aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy 606 $aDesign of Experiments 606 $aMethodology of Data Collection and Processing 606 $aBehavioral Sciences and Psychology 606 $aQuantitative Psychology 615 0$aSociology$xMethodology. 615 0$aSocial sciences$xStatistical methods. 615 0$aExperimental design. 615 0$aSampling (Statistics) 615 0$aPsychology. 615 0$aPsychology$xMethodology. 615 14$aSociological Methods. 615 24$aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. 615 24$aDesign of Experiments. 615 24$aMethodology of Data Collection and Processing. 615 24$aBehavioral Sciences and Psychology. 615 24$aQuantitative Psychology. 676 $a301.01 676 $a153.8/3 700 $aShang$b Liang$01425299 702 $aChandra$b Yanto 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910742495703321 996 $aDiscrete choice experiments using R$93661763 997 $aUNINA LEADER 01611oam 2200493zu 450 001 9910164315303321 005 20210807002211.0 010 $a0-8031-5086-5 035 $a(CKB)3170000000043951 035 $a(SSID)ssj0001184211 035 $a(PQKBManifestationID)11773142 035 $a(PQKBTitleCode)TC0001184211 035 $a(PQKBWorkID)11191144 035 $a(PQKB)11656081 035 $a(EXLCZ)993170000000043951 100 $a20160829d1989 uy 101 0 $aeng 181 $ctxt 182 $cc 183 $acr 200 00$aFactors that affect the precision of mechanical tests 210 31$a[Place of publication not identified]$cASTM$d1989 225 0 $aSTP Factors that affect the precision of mechanical tests 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-8031-1251-3 606 $aTesting$vCongresses 606 $aMaterials$xTesting$xCongresses 606 $aChemical & Materials Engineering$2HILCC 606 $aEngineering & Applied Sciences$2HILCC 606 $aMaterials Science$2HILCC 615 0$aTesting 615 0$aMaterials$xTesting$xCongresses. 615 7$aChemical & Materials Engineering 615 7$aEngineering & Applied Sciences 615 7$aMaterials Science 676 $a620.1/1292 702 $aPapirno$b Ralph 702 $aWeiss$b H. Carl 712 02$aAmerican Society for Testing and Materials Committee E-28 on Mechanical Testing. 801 0$bPQKB 906 $aBOOK 912 $a9910164315303321 996 $aFactors that affect the precision of mechanical tests$92080531 997 $aUNINA