Results 61 to 70 of about 2,929 (197)
Adaptive and robust fractional gain based interpolatory cubature Kalman filter
Measurement + ControlIn this study, we put forward the robust fractional gain based interpolatory cubature Kalman filter (FGBICKF) and the adaptive FGBICKF (AFGBICKF) for the development of the state estimators for stochastic nonlinear dynamics system.
Jing Mu, Feng Tian, Jianlian Cheng
doaj +1 more source
Energies, 2018 State of charge (SOC) is a key parameter for lithium-ion battery management systems. The square root cubature Kalman filter (SRCKF) algorithm has been developed to estimate the SOC of batteries.
Xiangyu Cui +4 more
doaj +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
A Novel Weighted Unscented Kalman Filter for Dynamic Load Identification
Structural Control and Health Monitoring, Volume 2026, Issue 1, 2026.To address the limitations of traditional unscented Kalman filter (UKF)‐based algorithms—which typically require either additional displacement measurements or iterative optimization for load identification—this study proposes a fast and convenient load excitation identification algorithm.
Yanzhe Zhang +4 more
wiley +1 more source
Secure Distributed Dynamic State Estimation in Wide-Area Smart Grids
, 2019 Smart grid is a large complex network with a myriad of vulnerabilities, usually operated in adversarial settings and regulated based on estimated system states.
Kurt, Mehmet Necip +2 more
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Comparison of sigma-point filters for state estimation of diabetes models [PDF]
, 2014 In physiological control there is a need to esti- mate signals that cannot be measured directly. Burdened by measurement noise and unknown disturbances this proves to be challenging, since the models are usually highly nonlinear. Sigma- point filters
Benyó, Z. +4 more
core +1 more source
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
Depth-Based Object Tracking Using a Robust Gaussian Filter
, 2016 We consider the problem of model-based 3D-tracking of objects given dense depth images as input. Two difficulties preclude the application of a standard Gaussian filter to this problem.
Bohg, Jeannette +5 more
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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
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