Artigos de revistas sobre o tema "Unscented Kalman filter grand gain"
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Veja os 31 melhores artigos de revistas para estudos sobre o assunto "Unscented Kalman filter grand gain".
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Matsuura, 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 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 fonteYem 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 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 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 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 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 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 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 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 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 fonteYang, Yi, Fei Li, Yi Gao e Yanhui Mao. "Multi-Sensor Combined Measurement While Drilling Based on the Improved Adaptive Fading Square Root Unscented Kalman Filter". Sensors 20, n.º 7 (29 de março de 2020): 1897. http://dx.doi.org/10.3390/s20071897.
Texto completo da fonteWang, Zheng Jun, Jun Zheng Wang, Hao Wang e Jiang Bo Zhao. "Model Parameter Adaptive Sliding Mode Model-Following Position Control of PMSM". Advanced Materials Research 466-467 (fevereiro de 2012): 1089–94. http://dx.doi.org/10.4028/www.scientific.net/amr.466-467.1089.
Texto completo da fonteLiu, Huajun, Liwei Xia e Cailing Wang. "Maneuvering Target Tracking Using Simultaneous Optimization and Feedback Learning Algorithm Based on Elman Neural Network". Sensors 19, n.º 7 (2 de abril de 2019): 1596. http://dx.doi.org/10.3390/s19071596.
Texto completo da fonteBattiston, Adrian, Inna Sharf e Meyer Nahon. "Attitude estimation for collision recovery of a quadcopter unmanned aerial vehicle". International Journal of Robotics Research 38, n.º 10-11 (8 de agosto de 2019): 1286–306. http://dx.doi.org/10.1177/0278364919867397.
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 fonteChien, Chiang-Heng, Wei-Yen Wang, Jun Jo e Chen-Chien Hsu. "Enhanced Monte Carlo localization incorporating a mechanism for preventing premature convergence". Robotica 35, n.º 7 (20 de maio de 2016): 1504–22. http://dx.doi.org/10.1017/s026357471600028x.
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 fonteQi, Liangwen, Liming Zheng, Xingzhi Bai, Qin Chen, Jiyao Chen e Yan Chen. "Nonlinear Maximum Power Point Tracking Control Method for Wind Turbines Considering Dynamics". Applied Sciences 10, n.º 3 (23 de janeiro de 2020): 811. http://dx.doi.org/10.3390/app10030811.
Texto completo da fonteZhang, Hengbo, Xin Liu, Qingfeng Dou e Qiongyao Han. "Multi-Source Error Calibration and Observability Analysis of Integrated Inertial Navigation System/Polarization Sensor Navigation System". Journal of Physics: Conference Series 2456, n.º 1 (1 de março de 2023): 012005. http://dx.doi.org/10.1088/1742-6596/2456/1/012005.
Texto completo da fonteChen, L., G. H. Wang, S. Y. Jia e I. Progri. "Attitude Bias Conversion Model for Mobile Radar Error Registration". Journal of Navigation 65, n.º 4 (10 de julho de 2012): 651–70. http://dx.doi.org/10.1017/s0373463312000239.
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 fonteRahimi, Hossein, Amir Ali Nikkhah e Kaveh Hooshmandi. "A fast alignment of marine strapdown inertial navigation system based on adaptive unscented Kalman Filter". Transactions of the Institute of Measurement and Control, 29 de junho de 2020, 014233122093429. http://dx.doi.org/10.1177/0142331220934293.
Texto completo da fonteBai, Xingzhen, Xinlei Zheng, Leijiao Ge, Feiyu Qin e Yuanliang Li. "Event-Triggered Forecasting-Aided State Estimation for Active Distribution System With Distributed Generations". Frontiers in Energy Research 9 (23 de julho de 2021). http://dx.doi.org/10.3389/fenrg.2021.707183.
Texto completo da fonteLiang, Zhenhu, Dihuan Wang, Xing Jin, Luxin Fan, Xin Wen, Changwei Wei e Xiaoli Li. "Tracking the effects of propofol, sevoflurane and (S)-ketamine anesthesia using an unscented kalman filter-based neural mass model". Journal of Neural Engineering, 9 de março de 2023. http://dx.doi.org/10.1088/1741-2552/acc2e8.
Texto completo da fonteChen, Ye, Guoliang Tao e Yitao Yao. "A dual adaptive robust control for nonlinear systems with parameter and state estimation". Measurement and Control, 10 de outubro de 2023. http://dx.doi.org/10.1177/00202940231200956.
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