Results 11 to 20 of about 9,303 (171)
Chaos, Solitons & Fractals, 2023 This article has been published in the journal Chaos, Solitons & Fractals with the title " An improved epidemiological-unscented Kalman filter (hybrid SEIHCRDV-UKF) model for the prediction of COVID-19. Application on real-time data "
Papageorgiou, Vasileios E. +1 more
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An Improved Unscented Kalman Filter Algorithm for Radar Azimuth Mutation
International Journal of Aerospace Engineering, 2020 An improved UKF (Unscented Kalman Filter) algorithm is proposed to solve the problem of radar azimuth mutation. Since the radar azimuth angle will restart to count after each revolution of the radar, and when the aircraft just passes the abrupt angle ...
Dazhang You +5 more
doaj +1 more source
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 ...
doaj +1 more source
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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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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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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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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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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A Cost-Effective Vehicle Localization Solution Using an Interacting Multiple Model−Unscented Kalman Filters (IMM-UKF) Algorithm and Grey Neural Network [PDF]
Sensors, 2017 In this paper, we propose a cost-effective localization solution for land vehicles, which can simultaneously adapt to the uncertain noise of inertial sensors and bridge Global Positioning System (GPS) outages. First, three Unscented Kalman filters (UKFs) with different noise covariances are introduced into the framework of Interacting Multiple Model ...
Xu, Qimin, Li, Xu, Chan, Ching-Yao
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