Relevant bibliographies by topics / States estimation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'States estimation'

Author: Grafiati
Published: 15 June 2024
Last updated: 31 July 2025

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Journal articles on the topic "States estimation"

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Zerdali, Emrah, and Murat Barut. "Extended Kalman Filter Based Speed-Sensorless Load Torque and Inertia Estimations with Observability Analysis for Induction Motors." Power Electronics and Drives 3, no. 1 (2018): 115–27. http://dx.doi.org/10.2478/pead-2018-0002.

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Abstract This paper aims to introduce a novel extended Kalman filter (EKF) based estimator including observability analysis to the literature associated with the high performance speed-sensorless control of induction motors (IMs). The proposed estimator simultaneously performs the estimations of stator stationary axis components of stator currents and rotor fluxes, rotor mechanical speed, load torque including the viscous friction term, and reciprocal of total inertia by using measured stator phase currents and voltages. The inertia estimation is done since it varies with the load coupled to t
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Wasim, Muhammad, Ahsan Ali, Muhammad Mateen Afzal Awan, and Inam ul Hasan Shaikh. "Estimation of airship states and model uncertainties using nonlinear estimators." Mehran University Research Journal of Engineering and Technology 43, no. 1 (2024): 55. http://dx.doi.org/10.22581/muet1982.2401.1613.

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This Airships are lighter than air vehicles and due to their growing number of applications, they are becoming attractive for the research community. Most of the applications require an airship autonomous flight controller which needs an accurate model and state information. Usually, airship states are affected by noise and states information can be lost in the case of sensor's faults, while airship model is affected by model inaccuracies and model uncertainties. This paper presents the application of nonlinear and Bayesian estimators for estimating the states and model uncertainties of neutra
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Talla Ouambo, Steve Alan, Alexandre Teplaira Boum, and Adolphe Moukengue Imano. "States and Parameters Estimation for Induction Motors Based on a New Adaptive Moving Horizon Estimation." Journal of Electrical and Computer Engineering 2022 (November 12, 2022): 1–11. http://dx.doi.org/10.1155/2022/8687025.

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This paper investigates the joint states and parameters estimation problem for induction machine. In order to develop new states and parameters estimation methods that greatly improve the estimation bandwidth, this paper proposes an adaptive moving horizon estimation of the crucial states and parameters of the induction machine. The model of the machine under study is the one taking into consideration the magnetic saturation and the iron losses simultaneously. The estimator used is based on a least squares algorithm but includes a dead zone that ensures robustness and a variable forgetting fac
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Zhang, Xiao, Feng Ding, Ling Xu, Ahmed Alsaedi, and Tasawar Hayat. "A Hierarchical Approach for Joint Parameter and State Estimation of a Bilinear System with Autoregressive Noise." Mathematics 7, no. 4 (2019): 356. http://dx.doi.org/10.3390/math7040356.

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This paper is concerned with the joint state and parameter estimation methods for a bilinear system in the state space form, which is disturbed by additive noise. In order to overcome the difficulty that the model contains the product term of the system input and states, we make use of the hierarchical identification principle to present new methods for estimating the system parameters and states interactively. The unknown states are first estimated via a bilinear state estimator on the basis of the Kalman filtering algorithm. Then, a state estimator-based recursive generalized least squares (
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Jamal, Alaa, and Raphael Linker. "Genetic Operator-Based Particle Filter Combined with Markov Chain Monte Carlo for Data Assimilation in a Crop Growth Model." Agriculture 10, no. 12 (2020): 606. http://dx.doi.org/10.3390/agriculture10120606.

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Particle filter has received increasing attention in data assimilation for estimating model states and parameters in cases of non-linear and non-Gaussian dynamic processes. Various modifications of the original particle filter have been suggested in the literature, including integrating particle filter with Markov Chain Monte Carlo (PF-MCMC) and, later, using genetic algorithm evolutionary operators as part of the state updating process. In this work, a modified genetic-based PF-MCMC approach for estimating the states and parameters simultaneously and without assuming Gaussian distribution for
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Zhao, Dengfeng, Haiyang Li, Fang Zhou, et al. "Research Progress on Data-Driven Methods for Battery States Estimation of Electric Buses." World Electric Vehicle Journal 14, no. 6 (2023): 145. http://dx.doi.org/10.3390/wevj14060145.

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Battery states are very important for the safe and reliable use of new energy vehicles. The estimation of power battery states has become a research hotspot in the development of electric buses and transportation safety management. This paper summarizes the basic workflow of battery states estimation tasks, compares, and analyzes the advantages and disadvantages of three types of data sources for battery states estimation, summarizes the characteristics and research progress of the three main models used for estimating power battery states such as machine learning models, deep learning models,
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Gao, Chao, Guorong Zhao, Jianhua Lu, and Shuang Pan. "Decentralized state estimation for networked spatial-navigation systems with mixed time-delays and quantized complementary measurements: The moving horizon case." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 232, no. 11 (2017): 2160–77. http://dx.doi.org/10.1177/0954410017712277.

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In this paper, the navigational state estimation problem is investigated for a class of networked spatial-navigation systems with quantization effects, mixed time-delays, and network-based observations (i.e. complementary measurements and regional estimations). A decentralized moving horizon estimation approach, featuring complementary reorganization and recursive procedure, is proposed to tackle this problem. First, through the proposed reorganized scheme, a random delayed system with complementary observations is reconstructed into an equivalent delay-free one without dimensional augment. Se
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Shaw, David A., Vu C. Dinh, and Frederick A. Matsen. "Joint Maximum Likelihood of Phylogeny and Ancestral States Is Not Consistent." Molecular Biology and Evolution 36, no. 10 (2019): 2352–57. http://dx.doi.org/10.1093/molbev/msz128.

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Abstract Maximum likelihood estimation in phylogenetics requires a means of handling unknown ancestral states. Classical maximum likelihood averages over these unknown intermediate states, leading to provably consistent estimation of the topology and continuous model parameters. Recently, a computationally efficient approach has been proposed to jointly maximize over these unknown states and phylogenetic parameters. Although this method of joint maximum likelihood estimation can obtain estimates more quickly, its properties as an estimator are not yet clear. In this article, we show that this
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Abdul Jalil, Nur Raihan, Nur Anisah Mohamed, and Rossita Mohamad Yunus. "Estimation in regret-regression using quadratic inference functions with ridge estimator." PLOS ONE 17, no. 7 (2022): e0271542. http://dx.doi.org/10.1371/journal.pone.0271542.

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In this paper, we propose a new estimation method in estimating optimal dynamic treatment regimes. The quadratic inference functions in myopic regret-regression (QIF-MRr) can be used to estimate the parameters of the mean response at each visit, conditional on previous states and actions. Singularity issues may arise during computation when estimating the parameters in ODTR using QIF-MRr due to multicollinearity. Hence, the ridge penalty was introduced in rQIF-MRr to tackle the issues. A simulation study and an application to anticoagulation dataset were conducted to investigate the model’s pe
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Mageed Hag Elamin, Khalid Abd El. "Particle Filtering for Enhanced Parameter Estimation in Bilinear Systems Under Colored Noise." Current Research in Statistics & Mathematics 3, no. 3 (2024): 01–20. http://dx.doi.org/10.33140/crsm.03.03.01.

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This paper addresses the challenging problem of parameter estimation in bilinear systems under colored noise. A novel approach, termed B-PF-RLS, is proposed, combining a particle filter (PF) with a recursive least squares (RLS) estimator. The B-PF-RLS algorithm tackles the complexities arising from system nonlinearities and colored noise by effectively estimating unknown system states using the particle filter, which are then integrated into the RLS parameter estimation process. Furthermore, the paper introduces an enhanced particle filter that eliminates the need for explicit knowledge of the
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Dissertations / Theses on the topic "States estimation"

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Covello, James Anthony. "Nonlinear Bounded-Error Target State Estimation Using Redundant States." Diss., The University of Arizona, 2006. http://hdl.handle.net/10150/195557.

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When the primary measurement sensor is passive in nature--by which we mean that it does not directly measure range or range rate--there are well-documented challenges for target state estimation. Most estimation schemes rely on variations of the Extended Kalman Filter (EKF), which, in certain situations, suffer from divergence and/or covariance collapse. For this and other reasons, we believe that the Kalman filter is fundamentally ill-suited to the problems that are inherent in target state estimation using passive sensors. As an alternative, we propose a bounded-error (or set-membership)
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Song, Hui. "Real time feedback control using predictive states estimation." Thesis, University of Ottawa (Canada), 2005. http://hdl.handle.net/10393/27041.

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In this thesis, we present a real time feedback control strategy to optimize the dynamic performance of computer communication network. In previous studies [8-10], feedback delay, arising from communication delay, was shown to degrade system performance. Considering this negative impact of delay, we propose a new control law which predicts, in advance, the traffic and exercises control based on the predicted traffic. In experiments, we apple the token bucket (TB) mechanism to construct a discrete dynamic system model [8-10], in which one multiplexor, linked to all the TBs, multiplexes the conf
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Streff, Michael J. "The estimation of United States Army reenlistment rates." Thesis, Monterey, California. Naval Postgraduate School, 1989. http://hdl.handle.net/10945/25902.

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Lewis, Clayton S. "Evapotranspiration Estimation: A Study of Methods in the Western United States." DigitalCommons@USU, 2016. https://digitalcommons.usu.edu/etd/4683.

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This research focused on estimating evapotranspiration (i.e., the amount of water vaporizing into the atmosphere through processes of surface evaporation and plant transpiration) under both theoretical and actual conditions. There were two study areas involved: one, on a large scale where 704 agriculturally-representative, electronic weather stations were used to evaluate the drivers and calculated reference evapotranspiration of a NASA gridded weather forcing model in the 17 western states in the contiguous U.S.; and two, transpiration of invasive saltcedar (Tamarix sp.) in the floodplain of
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Doyle, Mary Anne. "Youth vs. experience in the enlisted Air Force productivity estimation and policy analysis /." Santa Monica, CA : Rand, 1998. http://books.google.com/books?id=BIvfAAAAMAAJ.

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Dasso, Michael W. "Analysis of the United States Hop Market." DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1419.

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Hops are one of the four main ingredients used to produce beer. Many studies have been done to analyze the science behind growing and harvesting hops, creating hop hybrids, and how to brew beer with hops. However, there has been little research done revolving around the economic demand and supply model of the hop market. The objectives of this study are to create an econometric model of supply and demand of hops in the United States from 1981 to 2012, and to identify important exogenous variables that explain the supply and demand of hops using the two-stage least squares (2SLS) method of anal
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Al-Rawahy, Khalid Hilal. "Embodied consumption of U.S. copper and sulfur: Implications for intensity of use estimation and forecasting." Diss., The University of Arizona, 1990. http://hdl.handle.net/10150/185277.

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Domestic mineral consumption is defined as a net sum of apparent consumption plus embodied mineral contained in net imported goods. The U.S. is a net importer of copper-containing products, such as automobiles, electrical products, and construction and industrial machinery. Embodied copper which is contained in net imports of these products constitute part of domestic copper consumption. On the other hand, the U.S. is a net exporter of sulfur-using/embodying products, such as fertilizers and grains. The sulfur which is contained/employed in manufacturing exported products is not actually part
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Iossifov, Plamen K. "Estimation of United States money demand functions using longitudinal family-level data." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file 192Mb, 133 p, 2005. http://wwwlib.umi.com/dissertations/fullcit/3181862.

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Gursoy, Gonenc. "Neural Network Based Online Estimation Of Maneuvering Steady States And Control Limits." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612147/index.pdf.

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This thesis concerns the design and development of neural network based predictive algorithms to predict approaching aircraft limits. Therefore, approximate dynamics of flight envelope parameters such as angle of attack and load factor are constructed using neural network augmented dynamic models. Then, constructed models are used to predict steady state responses. By inverting the models and solving for critical controls at the known envelope limits, critical control inputs are calculated as well. The performance of the predictor algorithm is then evaluated with a different neural network onl
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Happ, Christof J. [Verfasser]. "Adaptive and Non-Adaptive Estimation of Discrete Quantum States / Christof J. Happ." München : Verlag Dr. Hut, 2013. http://d-nb.info/104287820X/34.

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Books on the topic "States estimation"

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Streff, Michael J. The estimation of United States Army reenlistment rates. Naval Postgraduate School, 1989.

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United States. Bureau of the Census. Population Division, ed. Postcensal population estimates: States, counties, and places. U.S. Dept. of Commerce, Economics and Statistics Administration, Bureau of the Census, 1993.

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Long, John F. Postcensal population estimates: States, counties, and places. U.S. Dept. of Commerce, Economics and Statistics Administration, Bureau of the Census, 1993.

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United States. Bureau of the Census. Population Division., ed. Postcensal population estimates: States, counties, and places. U.S. Dept. of Commerce, Economics and Statistics Administration, Bureau of the Census, 1993.

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Kaplan, Jonathan D. Army Research Institute Validation-Estimation System (ARIVES) user's manual. U.S. Army Research Institute for the Behavioral and Social Sciences, 1989.

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David, Koffman, United States. Federal Transit Administration., Transit Cooperative Research Program, Transit Development Corporation, and National Research Council (U.S.). Transportation Research Board., eds. Improving ADA complementary paratransit demand estimation. Transportation Research Board, 2007.

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Atack, Jeremy. Estimation of economies of scale in nineteenth century United States manufacturing. Garland Pub., 1985.

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Causey, Beverly D. Indirect state-level estimation for the private school survey. National Center for Education Statistics, 1999.

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Causey, Beverly D. Indirect state-level estimation for the private school survey. National Center for Education Statistics, 1999.

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Causey, Beverly D. Indirect state-level estimation for the private school survey. National Center for Education Statistics, 1999.

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Book chapters on the topic "States estimation"

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Bergou, János A., Ulrike Herzog, and Mark Hillery. "11 Discrimination of Quantum States." In Quantum State Estimation. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-44481-7_11.

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Fuchs, Christopher A., and Rüdiger Schack. "5 Unknown Quantum States and Operations,a Bayesian View." In Quantum State Estimation. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-44481-7_5.

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Imine, Hocine, Leonid Fridman, Hassan Shraim, and Mohamed Djemai. "States and Parameters Estimation." In Sliding Mode Based Analysis and Identification of Vehicle Dynamics. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22224-5_4.

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Chefles, Anthony. "12 Quantum States: Discrimination and Classical Information Transmission.A Review of Experimental Progress." In Quantum State Estimation. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-44481-7_12.

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Zhang, Mei Miranda. "Estimation of Shipping Cost." In Competitiveness in United States Grain Exports. Routledge, 2021. http://dx.doi.org/10.4324/9781003249153-3.

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Ji, Chuanshu. "Some estimation problems for Gibbs states." In Institute of Mathematical Statistics Lecture Notes - Monograph Series. Institute of Mathematical Statistics, 1991. http://dx.doi.org/10.1214/lnms/1215460497.

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Cheng, Shuo, Peng Dong, Xiangyang Xu, Shuhan Wang, and Yanfang Liu. "Estimation of Vehicle Crucial Dynamic States." In Chassis-Domain-Oriented Dynamic Control for Autonomous Vehicles. CRC Press, 2025. https://doi.org/10.1201/9781003583929-4.

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Harper, Ronald M. "Forebrain Mechanisms Related to Respiratory Patterning During Sleep-Waking States." In Modeling and Parameter Estimation in Respiratory Control. Springer US, 1989. http://dx.doi.org/10.1007/978-1-4613-0621-4_15.

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Shamsi, Mohammad Haris, Hannan Ahmad Khan, and Mohammed Aslam Husain. "Accurate Equivalent Circuit Model for Battery States Estimation." In Lecture Notes in Electrical Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6772-4_93.

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Zhao, Jin, Rongchen Zhao, and Feng He. "Vehicle Lateral States Estimation Using Kalman-Bucy Filter." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33795-6_19.

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Conference papers on the topic "States estimation"

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Glomsda, Marvin, Hendrik Prümer, and Philipp Sieberg. "Estimation of Vehicle States Using a Cascaded Hybrid Estimation Method." In 15th International Conference on Simulation and Modeling Methodologies, Technologies and Applications. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013646200003970.

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Ferretti, Hugo, C. Pria Dobney, Y. Batuhan Yilmaz, et al. "Optimal quantum multi-parameter estimation with few-photon states." In CLEO: Fundamental Science. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_fs.2024.fm4r.1.

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We report on the experimental demonstration and characterisation of the “tetrahedron state”, the optimal four-photon state for simultaneous estimation of all parameters describing a rotation. We propose a follow-up experiment to create the optimal two-photon state for this task.
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Chinni, Karthik R., Francesco Albarelli, Alexandre de Camargo, Rodrigo A. Vargas-Hernández, and Nicolas Quesada. "Optimal pulses for dipole moment estimation with coherent states." In Photonics for Quantum 2025, edited by Michael Reimer and Nir Rotenberg. SPIE, 2025. https://doi.org/10.1117/12.3063316.

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Beigi, Mohammad, Ying Shen, Runing Yang, et al. "InternalInspector I2: Robust Confidence Estimation in LLMs through Internal States." In Findings of the Association for Computational Linguistics: EMNLP 2024. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.findings-emnlp.751.

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Samjeed, Amna, Maisam Wahbah, and Ahsan H. Khandoker. "Estimation of Fetal Autonomic Age By Considering Fetal Behavioural States." In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2024. https://doi.org/10.1109/embc53108.2024.10782057.

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Nohara, Saki, Ryo Okamoto, Akio Fujiwara, and Shigeki Takeuchi. "Adaptive quantum state estimation for dynamic quantum states." In 2017 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC). IEEE, 2017. http://dx.doi.org/10.1109/cleoe-eqec.2017.8087436.

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Kak, Subhash, Pramode Verma, and Greg MacDonald. "Cryptography and system state estimation using polarization states." In SPIE Optical Engineering + Applications, edited by Chandrasekhar Roychoudhuri, Andrei Yu Khrennikov, and Al F. Kracklauer. SPIE, 2011. http://dx.doi.org/10.1117/12.893659.

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Oyama, Satoshi, Minako Iefuji, Ryo Okamoto, Koichi Yamagata, Akio Fujiwara, and Shigeki Takeuchi. "Adaptive quantum state estimation of mixed states using photons." In 2013 Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR). IEEE, 2013. http://dx.doi.org/10.1109/cleopr.2013.6600601.

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Bogdanov, Yu I. "Quantum states estimation: root approach." In SPIE Proceedings, edited by Kamil A. Valiev and Alexander A. Orlikovsky. SPIE, 2004. http://dx.doi.org/10.1117/12.562729.

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Achicanoy M., Wilson O., and Carlos F. Rodriguez H. "Integration of GPS and Accelerometer Uncertainties to Improve the Estimation of the Pose of Autonomous Vehicles." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-40463.

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Uncertainty fusion techniques based on Kalman filtering are commonly used to provide a better estimation of the state of a system. A comparison between three different methods to combine the sensor information in order to improve the estimation of the pose of an autonomous vehicle is presented. Two sensors and their uncertainty models are used to measure the observables states of a process: a Global Positioning System (GPS) and an accelerometer. Given that GPS has low sampling rate and the uncertainty of the position, calculated by double integration from the accelerometer signal, increases wi
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Reports on the topic "States estimation"

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Mayer, J. Estimation of the number of wild pigs found in the United States. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1169581.

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Coughlin, Cletus C., Joseph V. Terza, and Vachira Arromdee. State Characteristics and the Location of Foreign Direct Investment within the United States: Minimum Chi-Square Conditional Logit Estimation. Federal Reserve Bank of St. Louis, 1987. http://dx.doi.org/10.20955/wp.1987.006.

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Byram, Sharyl, and Christine Hackman. High-precision GNSS Orbit, Clock and EOP Estimation at the United States Naval Observatory. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada564787.

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Hunter, Margaret, Jijo K. Mathew, Ed Cox, Matthew Blackwell, and Darcy M. Bullock. Estimation of Connected Vehicle Penetration Rate on Indiana Roadways. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317343.

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Over 400 billion passenger vehicle trajectory waypoints are collected each month in the United States. This data creates many new opportunities for agencies to assess operational characteristics of roadways for more agile management of resources. This study compared traffic counts obtained from 24 Indiana Department of Transportation traffic counts stations with counts derived by the vehicle trajectories during the same periods. These stations were geographically distributed throughout Indiana with 13 locations on interstates and 11 locations on state or US roads. A Wednesday and a Saturday in
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Dudel, Christian, and Julian Schmied. Pension adequacy standards: an empirical estimation strategy and results for the United States and Germany. Max Planck Institute for Demographic Research, 2019. http://dx.doi.org/10.4054/mpidr-wp-2019-003.

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Prasad, Rajiv, Lyle F. Hibler, Andre M. Coleman, and Duane L. Ward. Design-Basis Flood Estimation for Site Characterization at Nuclear Power Plants in the United States of America. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1036933.

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Luo, Kaifang, Yueming Lucy Qiu, Pengfei Liu, and Yingdan Mei. Estimation of Property Value Changes from Nearby Carbon Capture, Utilization, and Storage Projects in the United States. National Bureau of Economic Research, 2024. http://dx.doi.org/10.3386/w32713.

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McWilliams, William H., James A. Westfall, Patrick H. Brose, et al. A regeneration indicator for Forest Inventory and Analysis: history, sampling, estimation, analytics, and potential use in the midwest and northeast United States. U.S. Department of Agriculture, Forest Service, Northern Research Station, 2015. http://dx.doi.org/10.2737/nrs-gtr-148.

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Brosh, Arieh, David Robertshaw, Yoav Aharoni, Zvi Holzer, Mario Gutman, and Amichai Arieli. Estimation of Energy Expenditure of Free Living and Growing Domesticated Ruminants by Heart Rate Measurement. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7580685.bard.

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Research objectives were: 1) To study the effect of diet energy density, level of exercise, thermal conditions and reproductive state on cardiovascular function as it relates to oxygen (O2) mobilization. 2) To validate the use of heart rate (HR) to predict energy expenditure (EE) of ruminants, by measuring and calculating the energy balance components at different productive and reproductive states. 3) To validate the use of HR to identify changes in the metabolizable energy (ME) and ME intake (MEI) of grazing ruminants. Background: The development of an effective method for the measurement of
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Dejene Mamo, Bekana. The Impact of Intergovernmental Transfers on Fiscal Behaviour of Local Governments in Ethiopia. Institute of Development Studies (IDS), 2020. http://dx.doi.org/10.19088/ictd.2020.001.

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This paper examines the effect of intergovernmental fiscal transfers on the fiscal behaviour of local governments in Ethiopia for the period 2004-2018. The empirical findings suggest that central government grants bolster state-level employment and expenditure. However, grants from the central government to states do not crowd out state-level revenue collection. Hence, this paper argues that fiscal decentralisation in Ethiopia has mostly, at least in theory, taken the form of devolution of the power to tax and spend public money. However, on average state-level revenue can only finance up to 2
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