01644oam 2200469I 450 991070449490332120130221152701.0(CKB)5470000002440742(OCoLC)828148835(EXLCZ)99547000000244074220130221d1987 ua 0engurbn|||||||||txtrdacontentcrdamediacrrdacarrierApplication of decomposition techniques to the preliminary design of a transport aircraft /J. E. Rogan and M. A. KolbHampton, Va. :National Aeronautics and Space Administration, Langley Research Center,[1987]1 online resource (xviii, 280 pages) illustrationsNASA contractor report ;178239Title from title screen (viewed on Feb. 21, 2013)."February 1987."Includes bibliographical references (page 15-17).DecompositionnasatDesign analysisnasatOptimizationnasatTransport aircraftnasatDecomposition.Design analysis.Optimization.Transport aircraft.Rogan J. E.504701Kolb M. A.Langley Research Center,United States.National Aeronautics and Space Administration,GPOGPOGPOBOOK9910704494903321Application of decomposition techniques to the preliminary design of a transport aircraft3483775UNINA03985nam 2200661 a 450 991043792130332120200520144314.0978128369697512836969759781447143512144714351510.1007/978-1-4471-4351-2(CKB)2670000000277593(EBL)994430(OCoLC)813837898(SSID)ssj0000767048(PQKBManifestationID)11421291(PQKBTitleCode)TC0000767048(PQKBWorkID)10739612(PQKB)11410718(DE-He213)978-1-4471-4351-2(MiAaPQ)EBC994430(PPN)168293269(EXLCZ)99267000000027759320121008d2013 uy 0engur|n|---|||||txtccrHybrid predictive control for dynamic transport problems /Alfredo A. Nunez, Doris A. Saez, Cristian E. Cortes1st ed. 2013.London Springer20131 online resource (182 p.)Advances in industrial control,1430-9491Description based upon print version of record.9781447159407 1447159403 9781447143505 1447143507 Includes bibliographical references and index.Hybrid 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.Hybrid 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.Advances in Industrial Control,1430-9491Control theoryControl theory.629.8629.836Nunez Alfredo A1750355Saez Doris A1750356Cortes Cristian E1750357MiAaPQMiAaPQMiAaPQBOOK9910437921303321Hybrid predictive control for dynamic transport problems4184981UNINA