Results 31 to 40 of about 9,465 (199)
Aircraft Inertial Measurement Unit Fault Diagnosis Based on Optimal Two-Stage UKF [PDF]
Xibei Gongye Daxue Xuebao, 2018 Optimal two stage Kalman filter (OTSKF) is able to obtain optimal estimation of system states and bias for linear system which contains random bias. Unscented Kalman filter (UKF) is a conventional nonlinear filtering method which utilizes Sigmas point ...
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Comparisons of nonlinear estimators for wastewater treatment plants [PDF]
, 2012 This paper deals with five existing nonlinear estimators (filters), which include Extended Kalman Filter (EKF), Extended H-infinity Filter (EHF), State Dependent Filter (SDF), State Dependent H-Infinity Filter (SDHF) and Unscented Kalman Filter (UKF ...
Abdul Wahab, Hamimi Fadziati Binti +2 more
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Higher order sigma point filter: A new heuristic for nonlinear time series filtering [PDF]
, 2013 In this paper we present some new results related to the higher order sigma point filter (HOSPoF), introduced in [1] for filtering nonlinear multivariate time series. This paper makes two distinct contributions.
Anderson +16 more
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Application of Mixed Kalman Filter to Passive Radar Target Tracking
Leida xuebao, 2015 To improve the estimation accuracy of the error covariance matrix in Unscented Kalman Filter (UKF). With the passive radar target tracking model, a novel Mixed Kalman Filter (MKF) is proposed, Firstly, the UKF is used to conduct a posteriori estimate for
Wu Yong, Wang Jun
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Adaptive Step Size Control of Extended/Unscented Kalman Filter Using Event Handling Concept
Frontiers in Mechanical Engineering, 2020 This paper presents a novel (Extended/Unscented) Kalman Filter by augmenting the event handling procedure of Ordinary Differential Equation (ODE) solvers with the predictor-corrector scheme of Extended/Unscented discrete Kalman Filter (EKF/UKF ...
Fateme Bakhshande, Dirk Söffker
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IET Signal Processing, 2021 One of the current ways to continue space research is to launch ballistic rockets that carry scientific payloads. To improve the accuracy of the instantaneous evolution of the payload impact on the Earths surface, it is necessary to estimate indirect ...
Jose Abreu +2 more
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Drones, 2023 This article tackles the computational burden of propagating uncertainties in the model predictive controller-based policy of the probabilistic model-based reinforcement learning (MBRL) system for an unmanned surface vehicles system (USV).
Jincheng Wang +4 more
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Dyna, 2019 Due to sensor limitations in some applications, induction motors state estimators are widely used in industries. One of the most powerful tools available for estimation is the Kalman filter.
Amin Darvishi, Aref Doroudi
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Batteries, 2023 Accurate state of charge (SOC) estimation is helpful for battery management systems to extend batteries’ lifespan and ensure the safety of batteries. However, due to the pseudo-positive definiteness of the covariance matrix and noise statistics error ...
Simin Peng +5 more
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IEEE Access, 2019 In target tracking, the tracking process needs to constantly update the data information. For maneuvering target, model mismatch and loss of high-order moment information disrupt the accuracy of the state estimation. In this paper, an adaptive high-order
Weidong Zhou, Jiaxin Hou
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