[HTML][HTML] Research on health state estimation methods of lithium-ion battery for small sample data
Y Wang, D Meng, Y Wang, R Li, Y Zhou - Energy Reports, 2022 - Elsevier
Abstract The SOH (State of Health) of lithium-ion batteries is an important feature that
characterizes the reliable operation of energy storage systems. In this study, according to the …
characterizes the reliable operation of energy storage systems. In this study, according to the …
Maximum correntropy cubature Kalman filter and smoother for continuous-discrete nonlinear systems with non-Gaussian noises
Y Wang, D Liu - ISA transactions, 2023 - Elsevier
To estimate the continuous-discrete nonlinear dynamic systems with non-Gaussian non-
zero mean noises, a square-root maximum correntropy cubature Kalman filter with adaptive …
zero mean noises, a square-root maximum correntropy cubature Kalman filter with adaptive …
Deep state-space Gaussian processes
This paper is concerned with a state-space approach to deep Gaussian process (DGP)
regression. We construct the DGP by hierarchically putting transformed Gaussian process …
regression. We construct the DGP by hierarchically putting transformed Gaussian process …
Probabilistic estimation of instantaneous frequencies of chirp signals
We present a continuous-time probabilistic approach for estimating the chirp signal and its
instantaneous frequency function when the true forms of these functions are not accessible …
instantaneous frequency function when the true forms of these functions are not accessible …
State-space Gaussian process for drift estimation in stochastic differential equations
This paper is concerned with the estimation of unknown drift functions of stochastic
differential equations (SDEs) from observations of their sample paths. We propose to …
differential equations (SDEs) from observations of their sample paths. We propose to …
A structural response reconstruction method based on a continuous-discrete state space model
F Chen, Z Peng - Journal of Mechanical Science and Technology, 2023 - Springer
Structural response reconstruction is an important technique for structural health monitoring.
However, aiming at the problem of discretization error in the discrete state space model …
However, aiming at the problem of discretization error in the discrete state space model …
Non-linear Gaussian smoothing with Taylor moment expansion
This letter is concerned with solvingcontinuous-discrete Gaussian smoothing problems by
using the Taylor moment expansion (TME) scheme. In the proposed smoothing method, we …
using the Taylor moment expansion (TME) scheme. In the proposed smoothing method, we …
A novel Taylor expansion based filter for localization of land-vehicles
M Zhao - Proceedings of the Institution of Mechanical …, 2024 - journals.sagepub.com
This technical note introduces a localization method for land-vehicles based on dead-
reckoning and nonlinear filter. To address the chattering phenomenon during vehicle …
reckoning and nonlinear filter. To address the chattering phenomenon during vehicle …
An unsupervised detection method for multiple abnormal wi-fi access points in large-scale wireless network
The probability of a single access point (AP) failure is very small. In addition, APs
communicate with each other; therefore, it is considered that these failures have little impact …
communicate with each other; therefore, it is considered that these failures have little impact …
Stochastic filtering with moment representation
Z Zhao, J Sarmavuori - arxiv preprint arxiv:2303.13895, 2023 - arxiv.org
Stochastic filtering refers to estimating the probability distribution of the latent stochastic
process conditioned on the observed measurements in time. In this paper, we introduce a …
process conditioned on the observed measurements in time. In this paper, we introduce a …