Results 81 to 90 of about 13,253 (243)
Accurate and reliable estimation information of sideslip angle is very important for intelligent motion control and active safety control of an autonomous vehicle.
Te Chen +5 more
doaj +1 more source
BP Neural Network–Based Kalman Filtering Method Under Multiple Cyberattacks
This paper proposes a Kalman‐gain‐driven neural Kalman filtering (KF) defense framework, termed KFDBP, for secure state estimation in cyber–physical systems (CPSs) under denial‐of‐service (DoS), spoofing, and replay attacks. Unlike end‐to‐end neural filtering approaches such as KalmanNet that directly learn state estimators or implicitly approximate ...
Zijing Li +7 more
wiley +1 more source
High-degree spherical simplex-radial cubature quadrature Kalman filter
A high-degree spherica1 simp1ex-radia1 cubature quadrature Ka1man fi1ter(HDSSRCQKF)was proposed to improve the estimation accuracy of non1inear Ka1man fi1ter.The non1inear Gaussian weighted integra1 was decomposed into the spherica1 integra1 and radia1 ...
Zhao-ming LI +3 more
doaj +2 more sources
Digital net properties of a polynomial analogue of Frolov's construction
Frolov's cubature formula on the unit hypercube has been considered important since it attains an optimal rate of convergence for various function spaces.
Dick, Josef +4 more
core +1 more source
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
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
Analytical computation of moderate-degree fully-symmetric cubature rules on the triangle [PDF]
A method is developed to compute analytically fully symmetric cubature rules on the triangle by using symmetric polynomials to express the two kinds of invariance inherent in these rules.
Papanicolopulos, Stefanos-Aldo
core +2 more sources
Polynomial (chaos) approximation of maximum eigenvalue functions: efficiency and limitations
This paper is concerned with polynomial approximations of the spectral abscissa function (the supremum of the real parts of the eigenvalues) of a parameterized eigenvalue problem, which are closely related to polynomial chaos approximations if the ...
Fenzi, Luca, Michiels, Wim
core +1 more source
Adaptive Cubature Kalman Filter Based on the Expectation-Maximization Algorithm
A cubature Kalman filter is considered to be one of the most useful methods for nonlinear systems. However, when the statistical characteristics of noise are unknown, the estimation accuracy is degraded. Therefore, an adaptive square-root cubature Kalman
Weidong Zhou, Lu Liu
doaj +1 more source
Simulation‐Based Approaches to Thermal Estimation in Electric Vehicle Battery Cells
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

