Transactions of the Society of Instrument and Control Engineers, 2009 HATTORI, Yasuharu, ADACHI, Shuichi
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Научный вестник МГТУ ГА, 2016 The paper contains algorithms for solving the problem of nonlinear filtering. The nonlinear approximate filters presented are: the extended Kalman filter (EKF), the uncented Kalman filter (UKF) and unscented Particle Filter (UPF). The flow-charts for the
I. A. Kudryavtseva
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Journal of Aerospace Technology and ManagementThis paper presents the application of the unscented Kalman filter (UKF) for estimating the dynamic states of a maneuvering tank using a second-order Gauss-Markov process model.
Hai Tran Van +3 more
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Estimation of battery SOC using a combined approach of temporal convolutional networks and Unscented Kalman Filter. [PDF]
PLoS OneLin H, Chen X, Zhang L, Bao Z, Tang S.
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Low-Cost Portable Sensor Node for Gas and Chemical Leak Detection with Kalman-Filtering-Based UWB Localization. [PDF]
Sensors (Basel)Al-Okby MFR, Roddelkopf T, Thurow K.
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Velocity and Angle Tracking of Fast Targets Using a Bandwidth-Coded Hybrid Chirp FMCW Radar. [PDF]
Sensors (Basel)Gökdemir B +3 more
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An Unscented Kalman Filter Based on the Adams-Bashforth Method with Applications to the State Estimation of Osprey-Type Drones Composed of Tiltable Rotor Mechanisms. [PDF]
Sensors (Basel)Watanabe K, Takeda S, Nagai I.
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An Inverse Generalized Conversion Filter for State Estimation in Nonlinear Adversarial Sensing Systems. [PDF]
Sensors (Basel)Xi YA, Dong XH, Wu SY.
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Energy-efficient path planning for Robotic Bulkhead Inspection using Residual-Enhanced UKF and Hierarchical MPC. [PDF]
PLoS OneWang J, Li L, Gao R, Yang L.
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Integrating GAN-based machine learning with nonlinear Kalman filtering for enhanced state estimation. [PDF]
Sci RepTobaly L, Yaniv E, Zalevsky Z.
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