Results 61 to 70 of about 2,942 (188)
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 Kalman Filter Approach for Biomolecular Systems with Noise Covariance Updating
, 2018 An important part of system modeling is determining parameter values, particularly for biomolecular systems, where direct measurements of individual parameters are typically hard.
Chakrabarti, Kushal +3 more
core +1 more source
IET Signal Processing, Volume 2026, Issue 1, 2026.The implementation of Kalman filter (KF) in tracking high‐dimensional, strongly correlated graph structured data is often complex and unstable. Meanwhile, in practical applications, the system may be subject to interference from non‐Gaussian noise and various cyberattacks.
Bingyu Yin, Xinmin Song, Wenling Li
wiley +1 more source
Journal of Engineering, Volume 2026, Issue 1, 2026.Vehicle sideslip angle is one of the irreplaceable variable indicators for evaluating vehicle stability. However, it is difficult to directly measure vehicle sideslip angle with onboard sensors. In order to obtain precise vehicle sideslip angle using onboard sensors, a novel observation strategy based on fusion of steady‐state model method and square ...
Zhendong Zhu +3 more
wiley +1 more source
Robust Gaussian Filtering using a Pseudo Measurement
, 2016 Many sensors, such as range, sonar, radar, GPS and visual devices, produce measurements which are contaminated by outliers. This problem can be addressed by using fat-tailed sensor models, which account for the possibility of outliers. Unfortunately, all
Bohg, Jeannette +6 more
core +1 more source
Simulation‐Based Approaches to Thermal Estimation in Electric Vehicle Battery Cells
Modelling and Simulation in Engineering, Volume 2026, Issue 1, 2026.This study presents a simulation‐based evaluation of a hybrid fiber Bragg grating (FBG) temperature estimation framework combining the extended Kalman filter (EKF) and unscented Kalman filter (UKF) for electric vehicle (EV) lithium‐ion battery cells. The work addresses key gaps in nonlinear thermal observability, robustness under high C‐rate excitation,
Kritzman P. Jooste +3 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
core +1 more source
A SLAM Algorithm Based on Adaptive Cubature Kalman Filter [PDF]
Mathematical Problems in Engineering, 2014 We need to predict mathematical model of the system and a priori knowledge of the noise statistics when traditional simultaneous localization and mapping (SLAM) solutions are used. However, in many practical applications, prior statistics of the noise are unknown or time‐varying, which will lead to large estimation errors or even cause ...
Fei Yu +4 more
openaire +2 more sources
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