Literatura científica selecionada sobre o tema "Unscented Kalman observer"
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Artigos de revistas sobre o assunto "Unscented Kalman observer"
Ongkosutjahjo, Martin, e Victor M. Becerra. "INTEGRATING THE UTKIN OBSERVER WITH THE UNSCENTED KALMAN FILTER". IFAC Proceedings Volumes 41, n.º 2 (2008): 12534–39. http://dx.doi.org/10.3182/20080706-5-kr-1001.02121.
Texto completo da fonteWan, Wenkang, Jingan Feng, Bao Song e Xinxin Li. "Huber-Based Robust Unscented Kalman Filter Distributed Drive Electric Vehicle State Observation". Energies 14, n.º 3 (1 de fevereiro de 2021): 750. http://dx.doi.org/10.3390/en14030750.
Texto completo da fonteYang, Rong Jun, e Yao Ye. "Drag Coefficient Identification from Flight Data via Optimal Observer". Applied Mechanics and Materials 687-691 (novembro de 2014): 787–90. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.787.
Texto completo da fonteChen, Jian Feng, Xiao Dong Sun, Long Chen e Hao Bin Jiang. "Load Torque Observer Design of PMSMs for EVs Based on Square-Root Unscented Kalman Filtering". Applied Mechanics and Materials 668-669 (outubro de 2014): 615–18. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.615.
Texto completo da fonteChen, Yong, Hao Yan e Yuecheng Li. "Vehicle State Estimation Based on Sage–Husa Adaptive Unscented Kalman Filtering". World Electric Vehicle Journal 14, n.º 7 (25 de junho de 2023): 167. http://dx.doi.org/10.3390/wevj14070167.
Texto completo da fonteQiu, Li Bo, Hui Yi Su, Hao Hu, Sheng Lin Huang, Jie Wang e Ting Jun Li. "Application of UKF Algorithm in Airborne Single Observer Passive Location". Advanced Materials Research 267 (junho de 2011): 356–62. http://dx.doi.org/10.4028/www.scientific.net/amr.267.356.
Texto completo da fonteLi, Zhao, Yu e Wei. "Underwater Bearing-only and Bearing-Doppler Target Tracking Based on Square Root Unscented Kalman Filter". Entropy 21, n.º 8 (28 de julho de 2019): 740. http://dx.doi.org/10.3390/e21080740.
Texto completo da fonteRayyam, Marouane, Malika Zazi e Youssef Barradi. "A new metaheuristic unscented Kalman filter for state vector estimation of the induction motor based on Ant Lion optimizer". COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 37, n.º 3 (8 de maio de 2018): 1054–68. http://dx.doi.org/10.1108/compel-06-2017-0239.
Texto completo da fonteWang, Taipeng, Sizhong Chen, Hongbin Ren e Yuzhuang Zhao. "Model-based unscented Kalman filter observer design for lithium-ion battery state of charge estimation". International Journal of Energy Research 42, n.º 4 (12 de dezembro de 2017): 1603–14. http://dx.doi.org/10.1002/er.3954.
Texto completo da fonteMei, Mingming, Shuo Cheng, Liang Li, Hongyuan Mu e Yuxuan Pei. "UKF-Based Observer Design for the Electric Brake Booster in Situations of Disturbance". Actuators 12, n.º 3 (22 de fevereiro de 2023): 94. http://dx.doi.org/10.3390/act12030094.
Texto completo da fonteTeses / dissertações sobre o assunto "Unscented Kalman observer"
Daid, Assia. "Sur la convergence d’unscented Kalman filter". Electronic Thesis or Diss., Toulon, 2021. http://www.theses.fr/2021TOUL0013.
Texto completo da fonteThe present thesis is a study of the convergence of the unscented Kalman filter. A convergence analysis of the modified unscented Kalman filter ( used as an observer for a class of nonlinear deterministic continuous time systems, is presented. Under certain conditions, the extended Kalman filter ( is an exponential observer for non linear systems, i.e., the dynamics of the estimation error is exponentially stable. It is shown that unlike the EKF, the UKF is not an expo nentially converging observer. A modification of the UKF the unscented Kalman observer ( is proposed, which is a better candidate for an observer, we proved the exponentialconvergence of the UKO and also shown that the high gain UKF observer as a compromise between the high gain extended Kalman filter (HG EKF) and the high gain unscented Kalman filter (HG UKF). All these properties are illustrated on the example of the binary distillation column and on an example of geolocalization
Ongkosutjahjo, Martin. "Development of variable structure observers and their integration with the unscented kalman filter". Thesis, University of Reading, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.515883.
Texto completo da fonteExposito, Garcia Adrian. "Investigation on Model Based Observers for SpaceStructure Load Characterization". Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-60732.
Texto completo da fonteIdrissi, Imane. "Contribution au Diagnotic des Défauts de la Machine Asynchrone Doublement Alimentée de l'Eolienne à Vitesse Variable". Thesis, Normandie, 2019. http://www.theses.fr/2019NORMR033/document.
Texto completo da fonteActually, the Doubly Fed Induction Generators (DFIG) are omnipresent in the wind power market, owing to their construction simplicity, their low purchase cost and their mechanical robustness. However, as any other electrical machine, these generators are subject to defects of different order (electrical, mechanical, electromagnetic ...) or of different type (sensor, actuator or system). That’s why, it is important to design an effective diagnostic approach, able to early detect, locate and identify any defect or abnormal behavior, which could undermine the healthy operation of this machine On the one hand, motivated by the observer-based fault diagnosis methods strengths, we proposed, in this thesis, a diagnostic approach for the faults detection, localization and identification of the DFIG used in variable speed wind turbine. This approach is based on the use of the efficient and widely used Kalman observers. The state estimation errors of the linear Kalman filter and the non-linear Kalman filters, named: The Extended Kalman Filter (EKF) and the Unscented Kalman Filter (UKF) are used as faults sensitive residuals. In order to avoid false alarms and to decouple faults from disturbances and noises, the faults detection is carried out by the analysis of the residuals generated, by the mean of statistical tests such as: Hinkley Page Test (PH) and DCS Test (Dynamic) Cumulative Sum). For the localization step in case of multiple and simultaneous faults, the Dedicated Observer scheme (DOS) and the Generalized Observer scheme (GOS) are applied. In addition, the fault level is determined in the fault identification step. Sensor faults, actuator and system faults of DFIG, are treated in this research work. On the other hand, a comparative study between the three Kalman observers proposed is performed. The comparison was done in terms of (1) the computation time, (2) the estimation accuracy, and (3) the convergence speed
Bolandhemmat, Hamidreza. "Distributed Sensing and Observer Design for Vehicles State Estimation". Thesis, 2009. http://hdl.handle.net/10012/4471.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Unscented Kalman observer"
Daid, Assia, Eric Busvelle e Mohamed Aidene. "Unscented Kalman Observer*". In 2019 8th International Conference on Systems and Control (ICSC). IEEE, 2019. http://dx.doi.org/10.1109/icsc47195.2019.8950505.
Texto completo da fonteNikoofard, Amirhossein, Tor Arne Johansen e Glenn-Ole Kaasa. "Nonlinear Moving Horizon Observer for Estimation of States and Parameters in Under-Balanced Drilling Operations". In ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-6074.
Texto completo da fonteAhmad, Aftab, Kjell Andersson e Ulf Sellgren. "A Comparative Study of Friction Estimation and Compensation Using Extended, Iterated, Hybrid, and Unscented Kalman Filters". In 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/detc2013-12997.
Texto completo da fonteChen, Zixuan, Yupeng Duan e Yunqing Zhang. "Automated Vehicle Path Planning and Trajectory Tracking Control Based on Unscented Kalman Filter Vehicle State Observer". In SAE WCX Digital Summit. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2021. http://dx.doi.org/10.4271/2021-01-0337.
Texto completo da fonteCheng, Qi, Alessandro Correa-Victorino e Ali Charara. "A new nonlinear observer of sideslip angle with unknown vehicle parameter using the dual unscented Kalman filter". In 2012 15th International IEEE Conference on Intelligent Transportation Systems - (ITSC 2012). IEEE, 2012. http://dx.doi.org/10.1109/itsc.2012.6338813.
Texto completo da fonteCheng, Qi, Alessandro Correa-Victorino e Ali Charara. "A new nonlinear observer using unscented Kalman filter to estimate sideslip angle, lateral tire road forces and tire road friction coefficient". In 2011 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2011. http://dx.doi.org/10.1109/ivs.2011.5940501.
Texto completo da fonteYu, Chao, Chuan Wang, Xin Deng, XueLiang Zhang, HaiFang Sun, WeiMing Peng e YuPeng Liu. "State Estimation and Slug Control of the Subsea Multiphase Pipeline". In ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/omae2021-62392.
Texto completo da fonteDey, Satadru, Beshah Ayalew e Pierluigi Pisu. "Estimation of Lithium-Ion Concentrations in Both Electrodes of a Lithium-Ion Battery Cell". In ASME 2015 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/dscc2015-9693.
Texto completo da fonteHeidfeld, Hannes, e Martin Schünemann. "Optimization based design of an UKF vehicle state estimator". In FISITA World Congress 2021. FISITA, 2021. http://dx.doi.org/10.46720/f2020-vdc-090.
Texto completo da fonteSamokhin, Sergey, e Kai Zenger. "Unscented MPC Design for Turbocharged EGR System in Diesel Engines". In ASME 2016 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/dscc2016-9880.
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