Literatura académica sobre el tema "Parameter identification"
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Artículos de revistas sobre el tema "Parameter identification"
Schmidt, Ulrike, Julia Mergheim y Paul Steinmann. "MULTISCALE PARAMETER IDENTIFICATION". International Journal for Multiscale Computational Engineering 10, n.º 4 (2012): 327–42. http://dx.doi.org/10.1615/intjmultcompeng.2012002175.
Texto completoLuque, Juan C. Cutipa, Decio Crisol Donha y Ettore Apolonio de Barros. "AUV parameter identification". IFAC Proceedings Volumes 42, n.º 18 (2009): 72–77. http://dx.doi.org/10.3182/20090916-3-br-3001.0062.
Texto completoTravis, C. C. y L. W. White. "Parameter identification of distributed parameter systems". Mathematical Biosciences 77, n.º 1-2 (diciembre de 1985): 341–52. http://dx.doi.org/10.1016/0025-5564(85)90105-1.
Texto completoSagara, S. y Zhen-Yu Zhao. "Identification of System Parameters in Distributed Parameter Systems". IFAC Proceedings Volumes 23, n.º 8 (agosto de 1990): 471–76. http://dx.doi.org/10.1016/s1474-6670(17)51960-6.
Texto completoCoca, D. y S. A. Billings. "Direct parameter identification of distributed parameter systems". International Journal of Systems Science 31, n.º 1 (enero de 2000): 11–17. http://dx.doi.org/10.1080/002077200291406.
Texto completoWilhelm, Erik, Raffaele Bornatico, Rolf Widmer, Lennon Rodgers y Gim Soh. "Electric Vehicle Parameter Identification". World Electric Vehicle Journal 5, n.º 4 (28 de diciembre de 2012): 1090–99. http://dx.doi.org/10.3390/wevj5041090.
Texto completoHou, M. "Parameter Identification of Sinusoids". IEEE Transactions on Automatic Control 57, n.º 2 (febrero de 2012): 467–72. http://dx.doi.org/10.1109/tac.2011.2164736.
Texto completoCalm, Remei, Miguel A. Sainz, Pau Herrero, Josep Vehi y Joaquim Armengol. "PARAMETER IDENTIFICATION WITH QUANTIFIERS". IFAC Proceedings Volumes 39, n.º 9 (2006): 707–12. http://dx.doi.org/10.3182/20060705-3-fr-2907.00121.
Texto completoKeyhani, A. "Synchronous Machine Parameter Identification". Electric Machines & Power Systems 20, n.º 1 (enero de 1992): 45–69. http://dx.doi.org/10.1080/07313569208909568.
Texto completoHeng, Zhang. "Parameter Identification of LCIS". IFAC Proceedings Volumes 18, n.º 5 (julio de 1985): 1585–88. http://dx.doi.org/10.1016/s1474-6670(17)60793-6.
Texto completoTesis sobre el tema "Parameter identification"
Manchu, Sreenivasarao. "Parameter Identification for Mechanical Joints". Thesis, Blekinge Tekniska Högskola, Avdelningen för maskinteknik, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4309.
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Jais, Mathias. "Parameter identification for Maxwell's equations". Thesis, Cardiff University, 2006. http://orca.cf.ac.uk/54581/.
Texto completoNorris, Mark A. "Parameter identification in distributed structures". Diss., Virginia Polytechnic Institute and State University, 1986. http://hdl.handle.net/10919/71164.
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Sui, Liqi. "Uncertainty management in parameter identification". Thesis, Compiègne, 2017. http://www.theses.fr/2017COMP2330/document.
Texto completoIn order to obtain more predictive and accurate simulations of mechanical behaviour in the practical environment, more and more complex material models have been developed. Nowadays, the characterization of material properties remains a top-priority objective. It requires dedicated identification methods and tests in conditions as close as possible to the real ones. This thesis aims at developing an effective identification methodology to find the material property parameters, taking advantages of all available information. The information used for the identification is theoretical, experimental, and empirical: the theoretical information is linked to the mechanical models whose uncertainty is epistemic; the experimental information consists in the full-field measurement whose uncertainty is aleatory; the empirical information is related to the prior information with epistemic uncertainty as well. The main difficulty is that the available information is not always reliable and its corresponding uncertainty is heterogeneous. This difficulty is overcome by the introduction of the theory of belief functions. By offering a general framework to represent and quantify the heterogeneous uncertainties, the performance of the identification is improved. The strategy based on the belief function is proposed to identify macro and micro elastic properties of multi-structure materials. In this strategy, model and measurement uncertainties arc analysed and quantified. This strategy is subsequently developed to take prior information into consideration and quantify its corresponding uncertainty
Kraft, Sönke. "Parameter identification for a TGV model". Phd thesis, Ecole Centrale Paris, 2012. http://tel.archives-ouvertes.fr/tel-00731143.
Texto completoDrexel, Michael V. "Modal parameter identification using mode isolation". Diss., Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/17239.
Texto completoRückert, Nadja, Robert S. Anderssen y Bernd Hofmann. "Stable Parameter Identification Evaluation of Volatility". Universitätsbibliothek Chemnitz, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-85402.
Texto completoSteele, Andrew D. "Time constrained qualitative model-based parameter identification". Thesis, Heriot-Watt University, 1996. http://hdl.handle.net/10399/735.
Texto completoIacobucci, Marco. "Dynamic parameter identification of a collaborative robot". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.
Buscar texto completoAlami, Mohsen. "Interval Based Parameter Identification for System Biology". Thesis, Linköpings universitet, Reglerteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-75161.
Texto completoDet här examensarbetet studerar problemet med parameteridentifiering för systembiologi. Två metoder har studerats. Metoden med intervallanalys använder union av intervallvektorer som klass av objekt för att manipulera och bilda inre och yttre approximationer av kompakta mängder. Denna metod fungerar väl för modeller givna som ett system av differentialekvationer, men har sina begränsningar, eftersom det analytiska uttrycket för lösningen till differentialekvationen som är nödvändigt att känna till för att kunna formulera inkluderande funktioner, inte alltid är tillgängliga. Den andra studerade metoden, använder SDP-relaxering, som ett sätt att komma runt problemet med olinjäritet och icke-konvexitet i systemet. Denna metod, implementerad i toolboxen bio.SDP, utgår från system av differensekvationer, framtagna via Eulers diskretiserings metod. Diskretiseringsmetoden innehåller fel och osäkerhet, vilket gör det nödvändigt att estimera en gräns för felets storlek. Några felestimeringsmetoder har studerats. Metoden med ∞-norm optimering, också kallat worst-case-∞-norm är tillämpat på ett-stegs felestimerings metoder. Metoderna har illustrerats genom att lösa två system biologiska problem och de accepterade parametermängderna, benämnt SCP, har jämförts och diskuterats.
Libros sobre el tema "Parameter identification"
Lebbe, Luc C. Hydraulic Parameter Identification. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60117-0.
Texto completoCoca, D. Direct parameter identification of distributed parameter systems. Sheffield: University of Sheffield, Dept. of Automatic Control and Syste,s Engineering, 1998.
Buscar texto completoPieter, Eykhoff, Parks P. C, International Federation of Automatic Control., International Federation of Operational Research Societies. y IFAC/IFORS Symposium on Identifaction and System Parameter Estimation, (8th : 1988 : Beijing), eds. Identification and system parameter estimation. Oxford: Pergamon, 1990.
Buscar texto completoCuevas, Erik, Jorge Gálvez y Omar Avalos. Recent Metaheuristics Algorithms for Parameter Identification. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-28917-1.
Texto completoMróz, Zenon y Georgios E. Stavroulakis, eds. Parameter Identification of Materials and Structures. Vienna: Springer Vienna, 2005. http://dx.doi.org/10.1007/3-211-38134-1.
Texto completoBrewer, Dennis W. Parameter identification for a robotic manipulator arm. Hampton, Va: ICASE, 1986.
Buscar texto completoWalter, E. Identification of parametric models from experimental data. Berlin: Springer, 1997.
Buscar texto completoBanks, H. Thomas. Numerical studies of identification in nonlinear distributed parameter systems. Hampton,Va: ICASE, 1989.
Buscar texto completo1950-, Chase Rory L., ed. Automatic identification: An IFS executive briefing. Bedford, England: IFS Publications, 1988.
Buscar texto completoTóth, Roland. Modeling and Identification of Linear Parameter-Varying Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13812-6.
Texto completoCapítulos de libros sobre el tema "Parameter identification"
Hicher, Pierre-Yves y Jian-Fu Shao. "Parameter Identification". En Constitutive Modeling of Soils and Rocks, 405–32. London, UK: ISTE, 2013. http://dx.doi.org/10.1002/9780470611081.ch11.
Texto completoCalvetti, Daniela y Erkki Somersalo. "Parameter Identification". En Encyclopedia of Applied and Computational Mathematics, 1134–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-540-70529-1_426.
Texto completoFriedman, Avner y David S. Ross. "Parameter Identification". En Mathematics in Industry, 176–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55755-2_18.
Texto completoLebbe, Luc C. "Introduction". En Hydraulic Parameter Identification, 1–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60117-0_1.
Texto completoLebbe, Luc C. "Hydraulic Parameters". En Hydraulic Parameter Identification, 9–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60117-0_2.
Texto completoLebbe, Luc C. "Evolution of analytical models of pumping tests and their interpretation methods". En Hydraulic Parameter Identification, 55–115. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60117-0_3.
Texto completoLebbe, Luc C. "Numerical model of pumping tests in a layered groundwater reservoir". En Hydraulic Parameter Identification, 117–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60117-0_4.
Texto completoLebbe, Luc C. "Further developments of pumping test model". En Hydraulic Parameter Identification, 175–228. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60117-0_5.
Texto completoLebbe, Luc C. "Inverse model as tool for pumping test interpretation". En Hydraulic Parameter Identification, 229–301. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60117-0_6.
Texto completoLebbe, Luc C. "Example of performance and interpretation of pumping tests". En Hydraulic Parameter Identification, 303–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60117-0_7.
Texto completoActas de conferencias sobre el tema "Parameter identification"
Luque,, Cutipa. "AUV Parameter Identification". En Manoeuvring and Control of Marine Craft, editado por Donha, Decio, Chair Pascoal, Antonio y Donha, Decio. Elsevier, 2009. http://dx.doi.org/10.3182/20090916-3-br-3001.00010.
Texto completoAbur, A. y Jun Zhu. "Identification of parameter errors". En Energy Society General Meeting. IEEE, 2010. http://dx.doi.org/10.1109/pes.2010.5589668.
Texto completoVesely, I., P. Marcon, Z. Szabo, F. Zezulka y O. Sajdl. "Parameter identification of PMSM". En 2016 Progress in Electromagnetic Research Symposium (PIERS). IEEE, 2016. http://dx.doi.org/10.1109/piers.2016.7735156.
Texto completoRachidi, S., R. Channa y A. Karama. "2D Parameter identification in a distributed parameter system". En 2011 International Conference on Multimedia Computing and Systems (ICMCS). IEEE, 2011. http://dx.doi.org/10.1109/icmcs.2011.5945732.
Texto completoMaes, Stephane. "Nonlinear techniques for parameter extraction from quasi-continuous wavelet transform with application to speech". En Substance Identification Technologies, editado por James L. Flanagan, Richard J. Mammone, Albert E. Brandenstein, Edward R. Pike, Stelios C. A. Thomopoulos, Marie-Paule Boyer, H. K. Huang y Osman M. Ratib. SPIE, 1994. http://dx.doi.org/10.1117/12.172510.
Texto completoZhang, H., G. Tuan, G. C. Foliente y F. Ma. "Parameter Identification of Hysteretic Structures". En ASME 1998 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/detc98/cie-5516.
Texto completoHe, Hong y Yonghong Tan. "An Optimizing Parameter-Tuning of Multi-Loop Controllers for Boiler Combustion Process". En Modelling, Identification and Control. Calgary,AB,Canada: ACTAPRESS, 2012. http://dx.doi.org/10.2316/p.2012.769-029.
Texto completoIlunga, Masengo y Ednah K. Onyari. "Infilling Maxima Annual Monthly Rainfall using Neural Networks: Effect of Scaling Parameter". En Modelling, Identification and Control. Calgary,AB,Canada: ACTAPRESS, 2013. http://dx.doi.org/10.2316/p.2013.799-106.
Texto completoReips, Louise y Martin Burger. "Parameter identification in medical imaging". En CNMAC 2017 - XXXVII Congresso Nacional de Matemática Aplicada e Computacional. SBMAC, 2018. http://dx.doi.org/10.5540/03.2018.006.01.0416.
Texto completoKhosla, Pradeep y Takeo Kanade. "Parameter identification of robot dynamics". En 1985 24th IEEE Conference on Decision and Control. IEEE, 1985. http://dx.doi.org/10.1109/cdc.1985.268838.
Texto completoInformes sobre el tema "Parameter identification"
Culioli, J. y V. Protopopescu. Parameter identification for generalized Lanchester's equations. Office of Scientific and Technical Information (OSTI), marzo de 1990. http://dx.doi.org/10.2172/7196009.
Texto completoLohne, Arild, Arne Stavland, Siv Marie Åsen, Olav Aursjø y Aksel Hiorth. Recommended polymer workflow: Interpretation and parameter identification. University of Stavanger, noviembre de 2021. http://dx.doi.org/10.31265/usps.202.
Texto completoMarco, David B., Alfredo Martins y Anthony J. Healy. Surge Motion Parameter Identification for the NPS Phoenix AUV. Fort Belvoir, VA: Defense Technical Information Center, enero de 2005. http://dx.doi.org/10.21236/ada435927.
Texto completoGray, Genetha Anne. Parameter identification for the electrical modeling of semiconductor bridges. Office of Scientific and Technical Information (OSTI), marzo de 2005. http://dx.doi.org/10.2172/922775.
Texto completoGardner, William A. Exploitation of Cyclostationarity for Signal-Parameter Estimation and System Identification. Fort Belvoir, VA: Defense Technical Information Center, junio de 1993. http://dx.doi.org/10.21236/ada267137.
Texto completoHonoré, Bo E. y Luojia Hu. Sample Selection Models Without Exclusion Restrictions: Parameter Heterogeneity and Partial Identification. Federal Reserve Bank of Chicago, 2022. http://dx.doi.org/10.21033/wp-2022-33.
Texto completoDennis, Jr, Williamson J. E. y Karen A. A New Parallel Optimization Algorithm for Parameter Identification in Ordinary Differential Equations. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 1988. http://dx.doi.org/10.21236/ada455254.
Texto completoFarhat, Charles. Real Time Predictive Flutter Analysis and Continuous Parameter Identification of Accelerating Aircraft. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 1998. http://dx.doi.org/10.21236/ada361695.
Texto completoFarhat, Charbel. Real-Time Predictive Flutter Analysis and Continuous Parameter Identification of Accelerating Aircraft. Fort Belvoir, VA: Defense Technical Information Center, enero de 2001. http://dx.doi.org/10.21236/ada387498.
Texto completoFarhat, Charbel. Real-Time Predictive Flutter Analysis and Continuous Parameter Identification of Acclerating Aircraft. Fort Belvoir, VA: Defense Technical Information Center, octubre de 2000. http://dx.doi.org/10.21236/ada389378.
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