Results 71 to 80 of about 2,942 (188)
Adaptive Robust Cubature Kalman Filter for Power System Dynamic State Estimation Against Outliers
IEEE Access, 2019 This paper develops an adaptive robust cubature Kalman filter (ARCKF) that is able to mitigate the adverse effects of the innovation and observation outliers while filtering out the system and measurement noises.
Yi Wang +4 more
doaj +1 more source
Comparisons on Kalman-Filter-Based Dynamic State Estimation Algorithms of Power Systems
IEEE Access, 2020 The Kalman-filter-based algorithms as the mainstream algorithms of dynamic state estimation of power systems have been extensively used to provide accurate data for power system applications. However, few comparisons are made to show their advantages and
Hui Liu +4 more
doaj +1 more source
Adaptively Robust Square-Root Cubature Kalman Filter Based on Amending
IEEE Access, 2021 To solve the problem of decreased filtering accuracy and even filter divergence for the case that the model errors and measurement outliers exist simultaneously, an adaptively robust square-root cubature Kalman filter (SRCKF) based on amending is ...
Chunhui Li +3 more
doaj +1 more source
A new algorithm for continuous-discrete filtering with randomly delayed measurements [PDF]
, 2016 This paper is a postprint of a paper submitted to and accepted for publication in IET Control Theory & Applications and is subject to Institution of Engineering and Technology Copyright.
Bhaumik, S, Date, P, Singh, A
core
International Journal for Numerical Methods in Engineering, Volume 126, Issue 23, 15 December 2025.ABSTRACT We develop efficient hyperreduction methods for projection‐based model reduction of nonlinear partial differential equations (PDEs) with a large number of parameters and/or large parametric extents. Our formulation is based on the empirical quadrature procedure (EQP), which solves an optimization problem that involves “residual‐matching ...
Adrian Humphry, Masayuki Yano
wiley +1 more source
A probabilistic diagnostic for Laplace approximations: Introduction and experimentation
Canadian Journal of Statistics, Volume 53, Issue 4, December 2025.Abstract Many models require integrals of high‐dimensional functions: for instance, to obtain marginal likelihoods. Such integrals may be intractable, or too expensive to compute numerically. Instead, we can use the Laplace approximation (LA). The LA is exact if the function is proportional to a normal density; its effectiveness therefore depends on ...
Shaun McDonald, Dave Campbell
wiley +1 more source
A New Approach to Linear/Nonlinear Distributed Fusion Estimation Problem
, 2018 Disturbance noises are always bounded in a practical system, while fusion estimation is to best utilize multiple sensor data containing noises for the purpose of estimating a quantity--a parameter or process.
Chen, Bo +3 more
core +1 more source
CKFNet: Neural Network Aided Cubature Kalman Filtering
IEEE Signal Processing LettersThe cubature Kalman filter (CKF), while theoretically rigorous for nonlinear estimation, often suffers performance degradation due to model-environment mismatches in practice. To address this limitation, we propose CKFNet-a hybrid architecture that synergistically integrates recurrent neural networks (RNN) with the CKF framework while preserving its ...
Jinhui Hu, Haiquan Zhao, Yi Peng
openaire +2 more sources
Quality and Reliability Engineering International, Volume 41, Issue 6, Page 2290-2305, October 2025.ABSTRACT This study introduces a novel calibration strategy for the linear Kalman filter (LKF) fusion application in condition monitoring, specifically utilizing accelerated aging data. Unlike the existing literature that often focuses on complex nonlinear Kalman filter variants, this research delves into the calibration of LKF.
Emre Genis, Duygu Bayram Kara
wiley +1 more source
IEEE Access, 2019 The distributed cubature Kalman filter is widely used in the field of target tracking, however, the presence of model uncertainties will undermine its tracking stability and effectiveness for tracking maneuvering target. In order to eliminate this effect
Zheng Zhang +5 more
doaj +1 more source