An adaptive remaining useful life prediction approach for single battery with unlabeled small sample data and parameter uncertainty

J Zhang, Y Jiang, X Li, M Huo, H Luo, S Yin - Reliability Engineering & …, 2022 - Elsevier
Accurate prediction of the remaining useful life (RUL) of lithium-ion battery is of great
significance for the reliability of electronic equipment. In the conventional approaches, there …

A Wiener-process-based degradation model with a recursive filter algorithm for remaining useful life estimation

XS Si, W Wang, CH Hu, MY Chen, DH Zhou - Mechanical Systems and …, 2013 - Elsevier
Remaining useful life estimation (RUL) is an essential part in prognostics and health
management. This paper addresses the problem of estimating the RUL from the observed …

Ss antman je marsden l. sirovich

JKHPHJ Keener, JKBJMA Mielke, CSPKR Sreenivasan - 2005 - Springer
The main purpose of this chapter is to give a derivation, which is mathematically precise,
physically natural, and conceptually simple, of the quasilinear system of partial differential …

The filtering‐based maximum likelihood iterative estimation algorithms for a special class of nonlinear systems with autoregressive moving average noise using the …

M Li, X Liu, F Ding - … Journal of Adaptive Control and Signal …, 2019 - Wiley Online Library
For a special class of nonlinear systems (ie, bilinear systems) with autoregressive moving
average noise, this paper gives the input‐output representation of the bilinear systems …

Unbiased recursive least squares identification methods for a class of nonlinear systems with irregularly missing data

W Liu, M Li - International Journal of Adaptive Control and …, 2023 - Wiley Online Library
Missing data often occur in industrial processes. In order to solve this problem, an auxiliary
model and a particle filter are adopted to estimate the missing outputs, and two unbiased …

System identification of nonlinear state-space models

TB Schön, A Wills, B Ninness - Automatica, 2011 - Elsevier
This paper is concerned with the parameter estimation of a general class of nonlinear
dynamic systems in state-space form. More specifically, a Maximum Likelihood (ML) …

An efficient recursive identification algorithm for multilinear systems based on tensor decomposition

Y Wang, L Yang - … Journal of Robust and Nonlinear Control, 2021 - Wiley Online Library
There are many important fields involving the multilinear system identification. A great
number of parameters to be identified is an important challenge, leading to the need for …

The least squares based iterative algorithms for parameter estimation of a bilinear system with autoregressive noise using the data filtering technique

M Li, X Liu - Signal Processing, 2018 - Elsevier
Parameter estimation is important in signal modeling and signal filtering. This paper uses
the filtering technique to study the parameter estimation problems of a class of bilinear …

Recursive parameter estimation methods and convergence analysis for a special class of nonlinear systems

X Zhang, F Ding, L Xu - International Journal of Robust and …, 2020 - Wiley Online Library
This paper is concerned with the joint estimation of states and parameters of a special class
of nonlinear systems, ie, bilinear systems. The key is to investigate new estimation methods …

[图书][B] Bilinear control systems: matrices in action

DLR Elliott - 2009 - Springer
The mathematical theory of control became a? eld of study half a century ago in attempts to
clarify and organize some challenging practical problems and the methods used to solve …