Literatura académica sobre el tema "Unknown term estimation"
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Artículos de revistas sobre el tema "Unknown term estimation"
Florens, Jean-Pierre y Senay Sokullu. "NONPARAMETRIC ESTIMATION OF SEMIPARAMETRIC TRANSFORMATION MODELS". Econometric Theory 33, n.º 4 (6 de junio de 2016): 839–73. http://dx.doi.org/10.1017/s0266466616000190.
Texto completoZhang, Yuanqing. "Estimation of Partially Specified Spatial Autoregressive Model". Journal of Systems Science and Information 2, n.º 3 (25 de junio de 2014): 226–35. http://dx.doi.org/10.1515/jssi-2014-0226.
Texto completoZhang, Xiao, Feng Ding, Ling Xu, Ahmed Alsaedi y Tasawar Hayat. "A Hierarchical Approach for Joint Parameter and State Estimation of a Bilinear System with Autoregressive Noise". Mathematics 7, n.º 4 (17 de abril de 2019): 356. http://dx.doi.org/10.3390/math7040356.
Texto completoZhou, Yanli, Shican Liu, Tianhai Tian, Qi He y Xiangyu Ge. "Using Particle Swarm Optimization Algorithm to Calibrate the Term Structure Model". Mathematical Problems in Engineering 2021 (4 de enero de 2021): 1–11. http://dx.doi.org/10.1155/2021/8893940.
Texto completoZhang, Zhengyu. "SEMIPARAMETRIC ESTIMATION OF PARTIALLY LINEAR TRANSFORMATION MODELS UNDER CONDITIONAL QUANTILE RESTRICTION". Econometric Theory 32, n.º 2 (19 de diciembre de 2014): 458–97. http://dx.doi.org/10.1017/s0266466614000887.
Texto completoKou, Junke, Qinmei Huang y Huijun Guo. "Pointwise Wavelet Estimations for a Regression Model in Local Hölder Space". Axioms 11, n.º 9 (10 de septiembre de 2022): 466. http://dx.doi.org/10.3390/axioms11090466.
Texto completoChen, Gang, Yong Zhou, TingTing Gao y Qicai Zhou. "Unknown Disturbance Estimation for a PMSM with a Hybrid Sliding Mode Observer". Mathematical Problems in Engineering 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/316360.
Texto completoPapadopoulos, Pavlos, Andreas Tsiartas y Shrikanth Narayanan. "Long-Term SNR Estimation of Speech Signals in Known and Unknown Channel Conditions". IEEE/ACM Transactions on Audio, Speech, and Language Processing 24, n.º 12 (diciembre de 2016): 2495–506. http://dx.doi.org/10.1109/taslp.2016.2615240.
Texto completoYakoub , Zaineb, Omar Naifar y Dmitriy Ivanov. "Unbiased Identification of Fractional Order System with Unknown Time-Delay Using Bias Compensation Method". Mathematics 10, n.º 16 (22 de agosto de 2022): 3028. http://dx.doi.org/10.3390/math10163028.
Texto completoLi, Liangliang, Xianpeng Wang, Xiang Lan, Gang Xu y Liangtian Wan. "Reweighted Off-Grid Sparse Spectrum Fitting for DOA Estimation in Sensor Array with Unknown Mutual Coupling". Sensors 23, n.º 13 (6 de julio de 2023): 6196. http://dx.doi.org/10.3390/s23136196.
Texto completoTesis sobre el tema "Unknown term estimation"
Wang, Zhibo. "Estimations non-asymptotiques et robustes basées sur des fonctions modulatrices pour les systèmes d'ordre fractionnaire". Electronic Thesis or Diss., Bourges, INSA Centre Val de Loire, 2023. http://www.theses.fr/2023ISAB0003.
Texto completoThis thesis develops the modulating functions method for non-asymptotic and robust estimations for fractional-order nonlinear systems, fractional-order linear systems with accelerations as output, and fractional-order time-delay systems. The designed estimators are provided in terms of algebraic integral formulas, which ensure non-asymptotic convergence. As an essential feature of the designed estimation algorithms, noisy output measurements are only involved in integral terms, which endows the estimators with robustness against corrupting noises. First, for fractional-order nonlinear systems which are partially unknown, fractional derivative estimation of the pseudo-state is addressed via the modulating functions method. Thanks to the additive index law of fractional derivatives, the estimation is decomposed into the fractional derivatives estimation of the output and the fractional initial values estimation. Meanwhile, the unknown part is fitted via an innovative sliding window strategy. Second, for fractional-order linear systems with accelerations as output, fractional integral estimation of the acceleration is firstly considered for fractional-order mechanical vibration systems, where only noisy acceleration measurements are available. Based on the existing numerical approaches addressing the proper fractional integrals of accelerations, our attention is primarily restricted to estimating the unknown initial values using the modulating functions method. On this basis, the result is further generalized to more general fractional-order linear systems. In particular, the behaviour of fractional derivatives at zero is studied for absolutely continuous functions, which is quite different from that of integer order. Third, for fractional-order time-delay systems, pseudo-state estimation is studied by designing a fractional-order auxiliary modulating dynamical system, which provides a more general framework for generating the required modulating functions. With the introduction of the delay operator and the bicausal generalized change of coordinates, the pseudo-state estimation of the considered system can be reduced to that of the corresponding observer normal form. In contrast to the previous work, the presented scheme enables direct estimation for the pseudo-state rather than estimating the fractional derivatives of the output and a bunch of fractional initial values. In addition, the efficiency and robustness of the proposed estimators are verified by numerical simulations in this thesis. Finally, a summary of this work and an insight into future work were drawn
Mechhoud, Sarah. "Estimation de la diffusion thermique et du terme source du modèle de transport de la chaleur dans les plasmas de tokamaks". Phd thesis, Université de Grenoble, 2013. http://tel.archives-ouvertes.fr/tel-00954183.
Texto completoCapítulos de libros sobre el tema "Unknown term estimation"
Pillonetto, Gianluigi, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao y Lennart Ljung. "Bayesian Interpretation of Regularization". En Regularized System Identification, 95–134. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95860-2_4.
Texto completoHellmundt, Christoph. "‘Indessen wollte ich mich Ihnen gern gefällig beweisen’: On Some Occasional Works, with an Unknown Composition by Mendelssohn". En The Mendelssohns, 169–80. Oxford University PressOxford, 2002. http://dx.doi.org/10.1093/oso/9780198167235.003.0008.
Texto completoWang, Bin y Tiancong Wang. "An Accurate Cardinality Estimation Scheme for Cloned Tags Under the Capture Effect". En Frontiers in Artificial Intelligence and Applications. IOS Press, 2022. http://dx.doi.org/10.3233/faia220375.
Texto completoEdge, M. D. "Properties of point estimators". En Statistical Thinking from Scratch, 91–110. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198827627.003.0008.
Texto completoHutton, J. E., O. T. Ogunyemi, y Paul I. Nelson. "Simplified and two-stage quasi-likelihood estimators". En Estimating Functions, 169–88. Oxford University PressOxford, 1991. http://dx.doi.org/10.1093/oso/9780198522287.003.0012.
Texto completoNechval, Nicholas A. y Konstantin N. Nechval. "A New Technique for Optimization of Product Acceptance Process in Terms of Misclassification Probability". En Stochastic Methods for Estimation and Problem Solving in Engineering, 1–32. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5045-7.ch001.
Texto completoClyde, Merlise A. y Robert L. Wolpert. "Nonparametric Function Estimation Using Overcomplete Dictionaries". En Bayesian Statistics 8, 101–24. Oxford University PressOxford, 2007. http://dx.doi.org/10.1093/oso/9780199214655.003.0004.
Texto completoMatsopoulos, George K. "Automatic Correspondence Methods towards Point-Based Medical Image Registration". En Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications, 407–25. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-314-2.ch026.
Texto completo"Eels at the Edge: Science, Status, and Conservation Concerns". En Eels at the Edge: Science, Status, and Conservation Concerns, editado por Giulio A. De Leo, Paco Melià, Marino Gatto y Alain J. Crivelli. American Fisheries Society, 2009. http://dx.doi.org/10.47886/9781888569964.ch22.
Texto completoSinger, Donald y W. David Menzie. "Estimating the Number of Undiscovered Deposits". En Quantitative Mineral Resource Assessments. Oxford University Press, 2010. http://dx.doi.org/10.1093/oso/9780195399592.003.0011.
Texto completoActas de conferencias sobre el tema "Unknown term estimation"
Griffith, Tristan D. y Mark J. Balas. "An Adaptive Control Framework for Unknown Input Estimation". En ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-67484.
Texto completoWang, Zhi-Pu y Huai-Ning Wu. "Source Term Estimation with Unknown Number of Sources using Improved Cuckoo Search Algorithm". En 2020 39th Chinese Control Conference (CCC). IEEE, 2020. http://dx.doi.org/10.23919/ccc50068.2020.9189067.
Texto completoSoize, Christian. "Estimation of the Fuzzy Substructure Model Parameters Using the Mean Power Flow Equation of the Fuzzy Structure". En ASME 1996 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/imece1996-0505.
Texto completoFrieden, B. Roy. "Probability-law estimation by a principle of minimum physical information". En OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.tudd5.
Texto completoZHU, ZIMO y SONGYE ZHU. "JOINT INPUT AND STATE ESTIMATION OF A SCALED WIND TURBINE MODEL: AN EXPERIMENTAL STUDY". En Structural Health Monitoring 2023. Destech Publications, Inc., 2023. http://dx.doi.org/10.12783/shm2023/37046.
Texto completoGok, Ihsan Murat, Muharrem Hilmi Cevik y Murat Cinar. "A New Approach to Estimate Friction Factor for Horizontal Wells from Production Logging Data". En International Petroleum Technology Conference. IPTC, 2022. http://dx.doi.org/10.2523/iptc-22242-ea.
Texto completoInoue, Tomoya, Tokihiro Katsui, Junya Ishiwata, Miki Y. Matsuo y C. K. Rheem. "Estimation of Stick-Slip Characteristics by Simulation With Actual Drilling Data". En ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/omae2016-54319.
Texto completoYu, Shu-Wen, Sandipan Mishra y Masayoshi Tomizuka. "On-Line Force Ripple Identification and Compensation in Precision Positioning of Wafer Stages". En ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-42563.
Texto completoGullaksen, Joannes. "Implementing a Method for Meteorological and Oceanographic Climate and Data Evaluation". En ASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/omae2023-101799.
Texto completoSchumann, Dorothea, Michael Wohlmuther y Jo¨rg Neuhausen. "Accelerator Waste: A New Challenge for Radioanalytics". En The 11th International Conference on Environmental Remediation and Radioactive Waste Management. ASMEDC, 2007. http://dx.doi.org/10.1115/icem2007-7008.
Texto completoInformes sobre el tema "Unknown term estimation"
Rahmani, Mehran, Xintong Ji y Sovann Reach Kiet. Damage Detection and Damage Localization in Bridges with Low-Density Instrumentations Using the Wave-Method: Application to a Shake-Table Tested Bridge. Mineta Transportation Institute, septiembre de 2022. http://dx.doi.org/10.31979/mti.2022.2033.
Texto completoZhang, Renduo y David Russo. Scale-dependency and spatial variability of soil hydraulic properties. United States Department of Agriculture, noviembre de 2004. http://dx.doi.org/10.32747/2004.7587220.bard.
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