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Artykuły w czasopismach na temat "Estimation"
Bai, Wenyuan, Xinhui Zhang, Zhen Gao, Shuyu Xie, Ke Peng i Yu Chen. "Sensorless Coestimation of Temperature and State-of-Charge for Lithium-Ion Batteries Based on a Coupled Electrothermal Model". International Journal of Energy Research 2023 (6.02.2023): 1–18. http://dx.doi.org/10.1155/2023/4021256.
Pełny tekst źródłaIRFAGUTAMI, NI PUTU NIA, I. GUSTI AYU MADE SRINADI i I. WAYAN SUMARJAYA. "PERBANDINGAN REGRESI ROBUST PENDUGA MM DENGAN METODE RANDOM SAMPLE CONSENSUS DALAM MENANGANI PENCILAN". E-Jurnal Matematika 3, nr 2 (31.05.2014): 45. http://dx.doi.org/10.24843/mtk.2014.v03.i02.p065.
Pełny tekst źródłaThanoon, Shaymaa Riyadh. "A comparison between Bayes estimation and the estimation of the minimal unbiased quadratic Standard of the bi-division variance analysis model in the presence of interaction". Tikrit Journal of Pure Science 25, nr 2 (17.03.2020): 116. http://dx.doi.org/10.25130/j.v25i2.966.
Pełny tekst źródłaLiu, Bing, Zhen Chen, Xiangdong Liu i Fan Yang. "An Efficient Nonlinear Filter for Spacecraft Attitude Estimation". International Journal of Aerospace Engineering 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/540235.
Pełny tekst źródłaWu, Renzhi, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan i Jingren Zhou. "Learning to be a statistician". Proceedings of the VLDB Endowment 15, nr 2 (październik 2021): 272–84. http://dx.doi.org/10.14778/3489496.3489508.
Pełny tekst źródłaSugiyama, Masashi, Takafumi Kanamori, Taiji Suzuki, Marthinus Christoffel du Plessis, Song Liu i Ichiro Takeuchi. "Density-Difference Estimation". Neural Computation 25, nr 10 (październik 2013): 2734–75. http://dx.doi.org/10.1162/neco_a_00492.
Pełny tekst źródłaTalakua, Mozart W., i Jefri Tipka. "ESTIMASI PARAMETER DISTRIBUSI EKPONENSIAL PADA LOKASI TERBATAS". BAREKENG: Jurnal Ilmu Matematika dan Terapan 1, nr 2 (1.12.2007): 1–7. http://dx.doi.org/10.30598/barekengvol1iss2pp1-7.
Pełny tekst źródłaChamidah, Nur, Budi Lestari, I. Nyoman Budiantara i Dursun Aydin. "Estimation of Multiresponse Multipredictor Nonparametric Regression Model Using Mixed Estimator". Symmetry 16, nr 4 (25.03.2024): 386. http://dx.doi.org/10.3390/sym16040386.
Pełny tekst źródłaNote, Yuya, Masahito Watanabe, Hiroaki Yoshimura, Takaharu Yaguchi i Toshiaki Omori. "Sparse Estimation for Hamiltonian Mechanics". Mathematics 12, nr 7 (25.03.2024): 974. http://dx.doi.org/10.3390/math12070974.
Pełny tekst źródłaZerdali, Emrah, i Murat Barut. "Extended Kalman Filter Based Speed-Sensorless Load Torque and Inertia Estimations with Observability Analysis for Induction Motors". Power Electronics and Drives 3, nr 1 (1.12.2018): 115–27. http://dx.doi.org/10.2478/pead-2018-0002.
Pełny tekst źródłaRozprawy doktorskie na temat "Estimation"
Yu, Kan Chi Kent. "Harmonic State Estimation and Transient State Estimation". Thesis, University of Canterbury. Electrical and Computer Engineering, 2006. http://hdl.handle.net/10092/1108.
Pełny tekst źródłaTelmoudi, Fedya. "Estimation and misspecification Risks in VaR estimation". Thesis, Lille 3, 2014. http://www.theses.fr/2014LIL30061/document.
Pełny tekst źródłaIn this thesis, we study the problem of conditional Value at Risk (VaR) estimation taking into account estimation risk and model risk. First, we considered a two-step method for VaR estimation. The first step estimates the volatility parameter using a generalized quasi maximum likelihood estimator (gQMLE) based on an instrumental density h. The second step estimates a quantile of innovations from the empirical quantile of residuals obtained in the first step. We give conditions under which the two-step estimator of the VaR is consistent and asymptotically normal. We also compare the efficiencies of the estimators for various instrumental densities h. When the distribution of is not the density h the first step usually gives a biased estimator of the volatility parameter and the second step gives a biased estimator of the quantile of the innovations. However, we show that both errors counterbalance each other to give a consistent estimate of the VaR. We then focus on the VaR estimation within the framework of GARCH models using the gQMLE based on a class of instrumental densities called double generalized gamma which contains the Gaussian distribution. Our goal is to compare the performance of the Gaussian QMLE against the gQMLE. The choice of the optimal estimator depends on the value of d that minimizes the asymptotic variance. We test if this parameter is equal 2. When the test is applied to real series of financial returns, the hypothesis stating the optimality of Gaussian QMLE is generally rejected. Finally, we consider non-parametric machine learning models for VaR estimation. These methods are designed to eliminate model risk because they are not based on a specific form of volatility. We use the support vector machine model for regression (SVR) based on the least square loss function (LS). In order to improve the solution of LS-SVR model, we used the weighted LS-SVR and the fixed size LS-SVR models. Numerical illustrations highlight the contribution of the proposed models for VaR estimation taking into account the risk of specification and estimation
Hoff, J. C. "Aircraft parameter estimation by estimation - before - modelling technique". Thesis, Cranfield University, 1995. http://dspace.lib.cranfield.ac.uk/handle/1826/10748.
Pełny tekst źródłaReynard, D. M. "Nonlinear estimation". Thesis, University of Newcastle Upon Tyne, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.336142.
Pełny tekst źródłaMu, Yingfei. "Boundary Estimation". Diss., North Dakota State University, 2015. http://hdl.handle.net/10365/25195.
Pełny tekst źródłaVölcker, Björn. "Performance Analysis of Parametric Spectral Estimators". Doctoral thesis, KTH, Signals, Sensors and Systems, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3323.
Pełny tekst źródłaBaba, Harra M'hammed. "Estimation de densités spectrales d'ordre élevé". Rouen, 1996. http://www.theses.fr/1996ROUES023.
Pełny tekst źródłaVerma, Vishash. "Improved Slope Estimation in Organic Field-Effect Transistor Mobility Estimation". Kent State University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=kent1618703169092189.
Pełny tekst źródłaChauvin, Jonathan. "Estimation et contrôle d’un moteur HCCI. Estimation des systèmes périodiques". Paris, ENMP, 2006. http://www.theses.fr/2006ENMP1387.
Pełny tekst źródłaHomogeneous Charge Compression Ignition (HCCI) combustion is characterized by a very high rate of Exhaust Gas Recirculation (EGR). This improves mixing and dulution in the cylinders, reduces polluant formation at the expense of combustion stability. Thus HCCI engines requuires real-time control to ensure a good trade-off between performance (in terms of torque productio and low polluant emissions) and combustion stability. Such closed-loop control are based on estimation of combustion parameters that not directly measured. This thesis, supported by IFP (Institut Français du Péttrole), proposes some control algorithms that have been tested experimentaly on a 4 cylinders HCCI engine developed by IFP. We decompose the control synthesis in three steps. We propose solutions with experimental validations for the first two steps. The first steps is air path control. The goal is to estimate and to control the masses entering in the cylinders (fresh air and burned gas). These masses are directly related to collecctor pressure, compositions and flow-rates. These variables are estimated via nonlinear observers using commercial cars sensors. Design and theoretical convergence proof follow linearization via output injection and Lyapunov argument. Feedforward control based on motion planning for differentially flat systems are used to derive the flow-rate set points (fresh air and EGR). This feedfoward control takes explicitly physical input constraints into account. Finally, fast Proportional Integral (PI) controller are designed to track these step points unsing as measured values the aboves estimations. We describe experimental results for large torque transient and also driving phases of the eurocycle. The second step is cylinders balancing. The goal is to estimate and control the combustion parameters in order to guarantee that all the cylinders have the same combustion in any steady-state regime . For that, we designedinstantaneous torque and cylinder individual air/fuel ratio (AFR) observers using commercial car sensors. We exploit here the highfrequency information contained in the measured signals (sampling of 6 degree crank angle). Experimenal results are reported. These results are based on a new class on asymptotic observers of an arbitrary numbers of Fournier modes associated to an unknown periodic input entering a linear time-periodic system. These observers outperform Kalman filters in terms of computation burden. Design and convergence proof are based on averaging techniques. A gain design methodology is proposed and justified for large numbers of modes via extension to infinite dimension of the finite-dimensional convergence analysis. The third step is the fuel path control. During large transient, the fuel path must follow the slower air path transient. We describe this still open problematic and point out its main difficulties
Srinivasarengan, Krishnan. "Estimation d'état, estimation paramétrique et identifiabilité des modèles quasi-LPV". Thesis, Université de Lorraine, 2018. http://www.theses.fr/2018LORR0059/document.
Pełny tekst źródłaTwo problems relevant to the model-based approaches to fault diagnosis and degradation estimation in commissioned buildings are investigated in this thesis: adaptive observers for state and parameter estimation, and parameter identifiability. The system models considered are the quasi-LPV models with affine parameterization. Using the Takagi-Sugeno (T-S) polytopic approach, two observer designs, one for continuous-time models and another for discrete-time models are provided. Both models use a Luenberger structure for the state estimation part and deploy the Lyapunov design approach. An innovative non-linear estimation model is obtained through the design process for the continuous-time parameter estimation whereas a proportional-integral (PI) structure is used for discrete-time. A brief third contribution is a decoupled state and parameter estimation that makes use of the parity-space approach and realized using a finite memory observer strategy. For the fourth contribution of parameter identifiability, a parity-space formulation using null-space computation is used for the elimination of states of the model from which the exhaustive summary of the model is extracted and the identifiability of the model verified. All the results are illustrated using examples
Książki na temat "Estimation"
Paradis, Jean. Estimation. Laval, Québec: Beauchemin, 1997.
Znajdź pełny tekst źródłaDowdy, Penny. Estimation. New York: Crabtree Pub., 2008.
Znajdź pełny tekst źródłaHeijden, F. van der, R. P. W. Duin, D. de Ridder i D. M. J. Tax. Classification, Parameter Estimation and State Estimation. Chichester, UK: John Wiley & Sons, Ltd, 2004. http://dx.doi.org/10.1002/0470090154.
Pełny tekst źródłade Ridder, Dick, David M. J. Tax, Bangjun Lei, Guangzhu Xu, Ming Feng, Yaobin Zou i Ferdinand van der Heijden. Classification, Parameter Estimation and State Estimation. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781119152484.
Pełny tekst źródłaGhosh, Malay, Nitis Mukhopadhyay i Pranab K. Sen. Sequential Estimation. Hoboken, NJ, USA: John Wiley & Sons, Inc., 1997. http://dx.doi.org/10.1002/9781118165928.
Pełny tekst źródłaFourdrinier, Dominique, William E. Strawderman i Martin T. Wells. Shrinkage Estimation. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02185-6.
Pełny tekst źródłaMislick, Gregory K., i Daniel A. Nussbaum. Cost Estimation. Hoboken, NJ, USA: John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781118802342.
Pełny tekst źródłaRoss, Gavin J. S. Nonlinear Estimation. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-3412-8.
Pełny tekst źródłaRoss, Gavin J. S. Nonlinear estimation. New York: Springer-Verlag, 1990.
Znajdź pełny tekst źródłaGhosh, Malay. Sequential estimation. New York: Wiley, 1997.
Znajdź pełny tekst źródłaCzęści książek na temat "Estimation"
Boos, Denni D., i L. A. Stefanski. "M-Estimation (Estimating Equations)". W Springer Texts in Statistics, 297–337. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-4818-1_7.
Pełny tekst źródłaFadali, M. Sami. "Estimation and Estimator Properties". W Introduction to Random Signals, Estimation Theory, and Kalman Filtering, 147–76. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-8063-5_5.
Pełny tekst źródłaTobisch, Franziska, Karla Weigelt, Pascal Philipp i Florian Matthes. "Investigating Effort Estimation in a Large-Scale Agile ERP Transformation Program". W Lecture Notes in Business Information Processing, 70–86. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-61154-4_5.
Pełny tekst źródłaLin, Stephen. "Illumination Estimation, Illuminant Estimation". W Computer Vision, 371–73. Boston, MA: Springer US, 2014. http://dx.doi.org/10.1007/978-0-387-31439-6_516.
Pełny tekst źródłaLin, Stephen. "Illumination Estimation, Illuminant Estimation". W Computer Vision, 599–604. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63416-2_516.
Pełny tekst źródłaLin, Stephen. "Illumination Estimation, Illuminant Estimation". W Computer Vision, 1–6. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-03243-2_516-1.
Pełny tekst źródłaRoss, Gavin J. S. "Models, Parameters, and Estimation". W Nonlinear Estimation, 1–11. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-3412-8_1.
Pełny tekst źródłaRoss, Gavin J. S. "Transformations of Parameters". W Nonlinear Estimation, 12–43. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-3412-8_2.
Pełny tekst źródłaRoss, Gavin J. S. "Inference and Stable Transformations". W Nonlinear Estimation, 44–72. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-3412-8_3.
Pełny tekst źródłaRoss, Gavin J. S. "The Geometry of Nonlinear Inference". W Nonlinear Estimation, 73–107. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-3412-8_4.
Pełny tekst źródłaStreszczenia konferencji na temat "Estimation"
Li, Yonghua, i R. Dyche Anderson. "Switching Adaptive Observer for Lithium-Ion Battery State of Charge Estimation". W ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-6061.
Pełny tekst źródłaGallego-Mejia, Joseph, i Fabio Gonzalez. "Robust Estimation in Reproducing Kernel Hilbert Space". W LatinX in AI at Neural Information Processing Systems Conference 2019. Journal of LatinX in AI Research, 2019. http://dx.doi.org/10.52591/lxai2019120829.
Pełny tekst źródłaHuang, Xiaoyu, i Junmin Wang. "Payload Parameter Real-Time Estimation for Lightweight Vehicles". W ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control. ASMEDC, 2011. http://dx.doi.org/10.1115/dscc2011-6045.
Pełny tekst źródłaZhang, Pushi, Li Zhao, Guoqing Liu, Jiang Bian, Minlie Huang, Tao Qin i Tie-Yan Liu. "Independence-aware Advantage Estimation". W Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/461.
Pełny tekst źródłaNguyen, Thang, Holly Warner, Hanieh Mohammadi, Dan Simon i Hanz Richter. "On the State Estimation of an Agonistic-Antagonistic Muscle System". W ASME 2017 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dscc2017-5304.
Pełny tekst źródłaAchicanoy M., Wilson O., i Carlos F. Rodriguez H. "Integration of GPS and Accelerometer Uncertainties to Improve the Estimation of the Pose of Autonomous Vehicles". W ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-40463.
Pełny tekst źródłaLiu, Chenchen, Yongzhi Li, Kangqi Ma, Duo Zhang, Peijun Bao i Yadong Mu. "Learning 3-D Human Pose Estimation from Catadioptric Videos". W Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/118.
Pełny tekst źródłaZhang, Jianwu, i Defeng Xu. "Hierarchical Estimator of Dual Clutch Torques for a Power-Split Hybrid Electric Vehicle". W ASME 2019 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/dscc2019-8927.
Pełny tekst źródłaKolansky, Jeremy, Corina Sandu, Theunis Botha i Schalk Els. "Real-Time Vehicle Parameters Estimation". W ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12083.
Pełny tekst źródłaDevezeaux, Jean-Guy. "L’économie globale, le coût du KWh et la sécurisation des fonds". W Méthodologie : estimation du coût du démantèlement. Les Ulis, France: EDP Sciences, 2015. http://dx.doi.org/10.1051/jtsfen/2015met01.
Pełny tekst źródłaRaporty organizacyjne na temat "Estimation"
Banks, H. T., i Kathleen L. Bihari. Modeling and Estimating Uncertainty in Parameter Estimation. Fort Belvoir, VA: Defense Technical Information Center, styczeń 1999. http://dx.doi.org/10.21236/ada447550.
Pełny tekst źródłaBacharach, Miguel, i William J. Vaughan. Household Water Demand Estimation. Inter-American Development Bank, marzec 1994. http://dx.doi.org/10.18235/0011616.
Pełny tekst źródłaCandy, J. V. MULTICHANNEL SPECTRAL ESTIMATION: An Approach to Estimating/Analyzing Vibrational Systems. Office of Scientific and Technical Information (OSTI), styczeń 2020. http://dx.doi.org/10.2172/1592017.
Pełny tekst źródłaLi, Ta-Hsin, Benjamin Kedem i Sid Yakowitz. Asymptotic Normality of the Contraction Mapping Estimator for Frequency Estimation. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 1991. http://dx.doi.org/10.21236/ada453892.
Pełny tekst źródłaOwen, Arthur B. Nonparametric Conditional Estimation. Office of Scientific and Technical Information (OSTI), czerwiec 2018. http://dx.doi.org/10.2172/1454025.
Pełny tekst źródłaBryan, Michael, Stephen Cecchetti i Rodney L. Wiggins II. Efficient Inflation Estimation. Cambridge, MA: National Bureau of Economic Research, wrzesień 1997. http://dx.doi.org/10.3386/w6183.
Pełny tekst źródłaOwen, Arthur B. Nonparametric Conditional Estimation. Fort Belvoir, VA: Defense Technical Information Center, luty 1987. http://dx.doi.org/10.21236/ada590998.
Pełny tekst źródłaUhlig, Harald, Toru Kitagawa i Raffaella Giacomini. Estimation Under Ambiguity. The IFS, maj 2019. http://dx.doi.org/10.1920/wp.cem.2019.2419.
Pełny tekst źródłaTibshirani, R. Local Likelihood Estimation. Office of Scientific and Technical Information (OSTI), czerwiec 2018. http://dx.doi.org/10.2172/1453998.
Pełny tekst źródłaHall, Peter, i R. J. Carroll. Variance Function Estimation in Regression: The Effect of Estimating the Mean. Fort Belvoir, VA: Defense Technical Information Center, sierpień 1988. http://dx.doi.org/10.21236/ada198228.
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