Artigos de revistas sobre o tema "High gain unscented Kalman filter"
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Yem Souhe, Felix Ghislain, Alexandre Teplaira Boum, Pierre Ele, Camille Franklin Mbey e Vinny Junior Foba Kakeu. "A Novel Smart Method for State Estimation in a Smart Grid Using Smart Meter Data". Applied Computational Intelligence and Soft Computing 2022 (10 de maio de 2022): 1–14. http://dx.doi.org/10.1155/2022/7978263.
Texto completo da fonteLv, Jiechao, Baochen Jiang, Xiaoli Wang, Yirong Liu e Yucheng Fu. "Estimation of the State of Charge of Lithium Batteries Based on Adaptive Unscented Kalman Filter Algorithm". Electronics 9, n.º 9 (2 de setembro de 2020): 1425. http://dx.doi.org/10.3390/electronics9091425.
Texto completo da fonteRiva, Mauro H., Matthias Dagen e Tobias Ortmaier. "Adaptive High-Gain observer for joint state and parameter estimation: A comparison to Extended and Unscented Kalman filter". IFAC Proceedings Volumes 47, n.º 3 (2014): 8558–63. http://dx.doi.org/10.3182/20140824-6-za-1003.01609.
Texto completo da fonteBagheri, Ahmad, Shahram Azadi e Abbas Soltani. "A combined use of adaptive sliding mode control and unscented Kalman filter estimator to improve vehicle yaw stability". Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics 231, n.º 2 (7 de outubro de 2016): 388–401. http://dx.doi.org/10.1177/1464419316673960.
Texto completo da fonteChen, Yudi, Xiangyu Liu, Changqing Li, Jiao Zhu, Min Wu e Xiang Su. "UAV Swarm Centroid Tracking for Edge Computing Applications Using GRU-Assisted Multi-Model Filtering". Electronics 13, n.º 6 (12 de março de 2024): 1054. http://dx.doi.org/10.3390/electronics13061054.
Texto completo da fonteMatsuura, Tsubasa, Masahiro Matsushita, Gan Chen e Isao Takami. "Gain-scheduled Control Using Unscented Kalman Filter". Proceedings of Conference of Tokai Branch 2019.68 (2019): 316. http://dx.doi.org/10.1299/jsmetokai.2019.68.316.
Texto completo da fonteGao, She Sheng, Wen Hui Wei e Li Xue. "Near Space Pseudolite Navigation System Design and High-Performance Filtering Algorithm". Applied Mechanics and Materials 411-414 (setembro de 2013): 931–35. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.931.
Texto completo da fonteXu, Daxing, Bao Wang, Lu Zhang e Zhiqiang Chen. "A New Adaptive High-Degree Unscented Kalman Filter with Unknown Process Noise". Electronics 11, n.º 12 (13 de junho de 2022): 1863. http://dx.doi.org/10.3390/electronics11121863.
Texto completo da fonteXi, Yan Hui, e Hui Peng. "Training Multi-Layer Perceptrons with the Unscented Kalman Particle Filter". Advanced Materials Research 542-543 (junho de 2012): 745–48. http://dx.doi.org/10.4028/www.scientific.net/amr.542-543.745.
Texto completo da fonteLi, Chengyi, e Chenglin Wen. "A Novel Extended Unscented Kalman Filter Is Designed Using the Higher-Order Statistical Property of the Approximate Error of the System Model". Actuators 13, n.º 5 (1 de maio de 2024): 169. http://dx.doi.org/10.3390/act13050169.
Texto completo da fonteJohn Basha, Furzana, e Kumar Somasundaram. "Rotor Asymmetry Detection in Wound Rotor Induction Motor Using Kalman Filter Variants and Investigations on Their Robustness: An Experimental Implementation". Machines 11, n.º 9 (14 de setembro de 2023): 910. http://dx.doi.org/10.3390/machines11090910.
Texto completo da fonteHu, Yinquan, Heping Liu e Hu Huang. "Construction and Method Study of the State of Charge Model for Lithium-Ion Packs in Electric Vehicles Using Ternary Lithium Packs as an Example". World Electric Vehicle Journal 15, n.º 2 (30 de janeiro de 2024): 43. http://dx.doi.org/10.3390/wevj15020043.
Texto completo da fonteYan, Xiaolong, Guoguang Chen e Xiaoli Tian. "Two-Step Adaptive Augmented Unscented Kalman Filter for Roll Angles of Spinning Missiles Based on Magnetometer Measurements". Measurement and Control 51, n.º 3-4 (abril de 2018): 73–82. http://dx.doi.org/10.1177/0020294018769828.
Texto completo da fonteHe, Xiaoyou, Yu Su e Yuhe Qiu. "An Improved Unscented Kalman Filter for Maneuvering Target Tracking*". Journal of Physics: Conference Series 2216, n.º 1 (1 de março de 2022): 012010. http://dx.doi.org/10.1088/1742-6596/2216/1/012010.
Texto completo da fonteWang, Xinmei, Hui Zhang, Xiaodong Gao e Rujin Zhao. "The Tobit-Unscented-Kalman-Filter-Based Attitude Estimation Algorithm Using the Star Sensor and Inertial Gyro Combination". Micromachines 14, n.º 6 (13 de junho de 2023): 1243. http://dx.doi.org/10.3390/mi14061243.
Texto completo da fonteZhang, Yansuo, Shubi Zhang, Yandong Gao, Shijin Li, Yikun Jia e Minggeng Li. "Adaptive Square-Root Unscented Kalman Filter Phase Unwrapping with Modified Phase Gradient Estimation". Remote Sensing 14, n.º 5 (2 de março de 2022): 1229. http://dx.doi.org/10.3390/rs14051229.
Texto completo da fonteLiang, Yunpei, Jiahui Dai, Kequan Wang, Xiaobo Li e Pengcheng Xu. "A Strong Tracking SLAM Algorithm Based on the Suboptimal Fading Factor". Journal of Sensors 2018 (2018): 1–14. http://dx.doi.org/10.1155/2018/9684382.
Texto completo da fonteLegowo, Ari, Zahratu H. Mohamad e Hoon Cheol Park. "Mixed Unscented Kalman Filter and Differential Evolution for Parameter Identification". Applied Mechanics and Materials 256-259 (dezembro de 2012): 2347–53. http://dx.doi.org/10.4028/www.scientific.net/amm.256-259.2347.
Texto completo da fontePei, Xiaofei, Zhenfu Chen, Bo Yang e Duanfeng Chu. "Estimation of states and parameters of multi-axle distributed electric vehicle based on dual unscented Kalman filter". Science Progress 103, n.º 1 (3 de outubro de 2019): 003685041988008. http://dx.doi.org/10.1177/0036850419880083.
Texto completo da fonteZhao, Kun, Ke Gang Pan, Ai Jun Liu e Dao Xing Guo. "The Unscented Kalman Filter Estimators for High Dynamic Doppler Shift Environments". Advanced Materials Research 532-533 (junho de 2012): 1487–91. http://dx.doi.org/10.4028/www.scientific.net/amr.532-533.1487.
Texto completo da fonteUllah, Inam, Xin Su, Jinxiu Zhu, Xuewu Zhang, Dongmin Choi e Zhenguo Hou. "Evaluation of Localization by Extended Kalman Filter, Unscented Kalman Filter, and Particle Filter-Based Techniques". Wireless Communications and Mobile Computing 2020 (2 de outubro de 2020): 1–15. http://dx.doi.org/10.1155/2020/8898672.
Texto completo da fonteZhao, Mujie, Tao Zhang e Di Wang. "A high precision indoor positioning method based on UKF". Journal of Intelligent & Fuzzy Systems 42, n.º 4 (4 de março de 2022): 3639–52. http://dx.doi.org/10.3233/jifs-211810.
Texto completo da fonteCao, Lu, Weiwei Yang, Hengnian Li, Zhidong Zhang e Jianjun Shi. "Robust double gain unscented Kalman filter for small satellite attitude estimation". Advances in Space Research 60, n.º 3 (agosto de 2017): 499–512. http://dx.doi.org/10.1016/j.asr.2017.03.014.
Texto completo da fonteWang, Hao, Yanping Zheng e Yang Yu. "Lithium-Ion Battery SOC Estimation Based on Adaptive Forgetting Factor Least Squares Online Identification and Unscented Kalman Filter". Mathematics 9, n.º 15 (22 de julho de 2021): 1733. http://dx.doi.org/10.3390/math9151733.
Texto completo da fonteTehrani, Mohammad, Nader Nariman-zadeh e Mojtaba Masoumnezhad. "Adaptive fuzzy hybrid unscented/H-infinity filter for state estimation of nonlinear dynamics problems". Transactions of the Institute of Measurement and Control 41, n.º 6 (8 de agosto de 2018): 1676–85. http://dx.doi.org/10.1177/0142331218787607.
Texto completo da fonteKim, DongBeom, Daekyo Jeong, Jaehyuk Lim, Sawon Min e Jun Moon. "Application of Recurrent Neural-Network based Kalman Filter for Uncertain Target Models". Journal of the Korea Institute of Military Science and Technology 26, n.º 1 (5 de fevereiro de 2023): 10–21. http://dx.doi.org/10.9766/kimst.2023.26.1.010.
Texto completo da fonteFan, Yongcun, Haotian Shi, Shunli Wang, Carlos Fernandez, Wen Cao e Junhan Huang. "A Novel Adaptive Function—Dual Kalman Filtering Strategy for Online Battery Model Parameters and State of Charge Co-Estimation". Energies 14, n.º 8 (17 de abril de 2021): 2268. http://dx.doi.org/10.3390/en14082268.
Texto completo da fonteZhang, Yong-Gang, Yu-Long Huang, Zhe-Min Wu e Ning Li. "Moving State Marine SINS Initial Alignment Based on High Degree CKF". Mathematical Problems in Engineering 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/546107.
Texto completo da fonteWang, Junting, Tianhe Xu e Zhenjie Wang. "Adaptive Robust Unscented Kalman Filter for AUV Acoustic Navigation". Sensors 20, n.º 1 (20 de dezembro de 2019): 60. http://dx.doi.org/10.3390/s20010060.
Texto completo da fonteXing, Jie, e Peng Wu. "State of Charge Estimation of Lithium-Ion Battery Based on Improved Adaptive Unscented Kalman Filter". Sustainability 13, n.º 9 (30 de abril de 2021): 5046. http://dx.doi.org/10.3390/su13095046.
Texto completo da fonteMu, Jing, e Chang Yuan Wang. "Iterated Cubature Kalman Filter for State Estimation of Maneuver Reentry Vehicle". Advanced Materials Research 466-467 (fevereiro de 2012): 1329–33. http://dx.doi.org/10.4028/www.scientific.net/amr.466-467.1329.
Texto completo da fonteXu, Wan Li, Zhun Liu e Jun Hui Liu. "GPS/INS Integrated Navigation Based on Unscented Kalman Filter". Applied Mechanics and Materials 380-384 (agosto de 2013): 3429–33. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.3429.
Texto completo da fonteWang, Xun, Zhaokui Wang e Yulin Zhang. "Stereovision-based relative states and inertia parameter estimation of noncooperative spacecraft". Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, n.º 7 (19 de junho de 2018): 2489–502. http://dx.doi.org/10.1177/0954410018782021.
Texto completo da fonteCetin, Meric, e Selami Beyhan. "Active fault tolerant control for high-precision positioning of a non-contact mode uncertain atomic force microscopy". Transactions of the Institute of Measurement and Control 42, n.º 14 (8 de junho de 2020): 2632–44. http://dx.doi.org/10.1177/0142331220923771.
Texto completo da fonteZhou, Wu, Chun Xia Zhao e Mian Hao Zhang. "Fast Kalman SLAM". Applied Mechanics and Materials 44-47 (dezembro de 2010): 3174–79. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.3174.
Texto completo da fonteLin, Ming, Jaewoo Yoon e Byeongwoo Kim. "Self-Driving Car Location Estimation Based on a Particle-Aided Unscented Kalman Filter". Sensors 20, n.º 9 (29 de abril de 2020): 2544. http://dx.doi.org/10.3390/s20092544.
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 fonteRen, Hongbin, Sizhong Chen, Gang Liu e Kaifeng Zheng. "Vehicle State Information Estimation with the Unscented Kalman Filter". Advances in Mechanical Engineering 6 (1 de janeiro de 2014): 589397. http://dx.doi.org/10.1155/2014/589397.
Texto completo da fonteZhang, Ping-an, Wei Wang, Min Gao e Yi Wang. "Square-Root Cubature Kalman Filter Based on H∞ Filter for Attitude Measurement of High-Spinning Aircraft". International Journal of Aerospace Engineering 2021 (18 de maio de 2021): 1–11. http://dx.doi.org/10.1155/2021/5589691.
Texto completo da fonteJia, Ke, Yifei Pei, Zhaohui Gao, Yongmin Zhong, Shesheng Gao, Wenhui Wei e Gaoge Hu. "A Quaternion-Based Robust Adaptive Spherical Simplex Unscented Particle Filter for MINS/VNS/GNS Integrated Navigation System". Mathematical Problems in Engineering 2019 (20 de maio de 2019): 1–13. http://dx.doi.org/10.1155/2019/8532601.
Texto completo da fonteGoll, Stanislaw, e Elena Zakharova. "An active beacon-based leader vehicle tracking system". ACTA IMEKO 8, n.º 4 (16 de dezembro de 2019): 33. http://dx.doi.org/10.21014/acta_imeko.v8i4.685.
Texto completo da fonteLuo, Yarong, Chi Guo, Shengyong You e Jingnan Liu. "A Novel Perspective of the Kalman Filter from the Rényi Entropy". Entropy 22, n.º 9 (3 de setembro de 2020): 982. http://dx.doi.org/10.3390/e22090982.
Texto completo da fonteWang, Xian, Zhengxiang Song, Kun Yang, Xuyang Yin, Yingsan Geng e Jianhua Wang. "State of Charge Estimation for Lithium-Bismuth Liquid Metal Batteries". Energies 12, n.º 1 (7 de janeiro de 2019): 183. http://dx.doi.org/10.3390/en12010183.
Texto completo da fonteLi, Xiuyuan, Wenxue Gao e Jiashu Zhang. "A Novel Hybrid Unscented Particle Filter based on Firefly Algorithm for Tightly-Coupled Stereo Visual-Inertial Vehicle Positioning". Journal of Navigation 73, n.º 3 (11 de novembro de 2019): 613–27. http://dx.doi.org/10.1017/s0373463319000845.
Texto completo da fonteLi, Bo, Huawei Yi e Xiaohui Li. "Innovative unscented transform–based particle cardinalized probability hypothesis density filter for multi-target tracking". Measurement and Control 52, n.º 9-10 (21 de outubro de 2019): 1567–78. http://dx.doi.org/10.1177/0020294019877494.
Texto completo da fontePrakash, Rahul, e Dharmendra Kumar Dheer. "Vehicle state estimation using a maximum likelihood based robust adaptive extended kalman filter considering unknown white Gaussian process and measurement noise signal". Engineering Research Express 5, n.º 2 (1 de junho de 2023): 025066. http://dx.doi.org/10.1088/2631-8695/acd73e.
Texto completo da fonteSung, Kwangjae, Hyo-Jong Song e In-Hyuk Kwon. "A Local Unscented Transform Kalman Filter for Nonlinear Systems". Monthly Weather Review 148, n.º 8 (14 de julho de 2020): 3243–66. http://dx.doi.org/10.1175/mwr-d-19-0228.1.
Texto completo da fonteAmin, Md, Md Rahman, Mohammad Hossain, Md Islam, Kazi Ahmed e Bikash Miah. "Unscented Kalman Filter Based on Spectrum Sensing in a Cognitive Radio Network Using an Adaptive Fuzzy System". Big Data and Cognitive Computing 2, n.º 4 (17 de dezembro de 2018): 39. http://dx.doi.org/10.3390/bdcc2040039.
Texto completo da fonteLiu, Changyun, Penglang Shui, Gang Wei e Song Li. "Modified unscented Kalman filter using modified filter gain and variance scale factor for highly maneuvering target tracking". Journal of Systems Engineering and Electronics 25, n.º 3 (junho de 2014): 380–85. http://dx.doi.org/10.1109/jsee.2014.00043.
Texto completo da fonteHabib, Tamer Mekky. "Magnetometer-Only Kalman Filter Based Algorithms for High Accuracy Spacecraft Attitude Estimation (A Comparative Analysis)". International Journal of Robotics and Control Systems 3, n.º 3 (7 de junho de 2023): 433–48. http://dx.doi.org/10.31763/ijrcs.v3i3.988.
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