Results 91 to 100 of about 2,029,550 (291)

The unscented Kalman filtering in extended noise environments

2009 American Control Conference, 2009
This paper introduces an extended environment for the unscented Kalman filtering that considers also the presence of additive noise on input observations in order to solve the problem of optimal estimation of noise-corrupted input and output sequences.
Yucheng Zhou 0003, Jiahe Xu 0001, Yuanwei Jing, Georgi M. Dimirovski   +3 more
openaire   +1 more source

The Extended Kalman-Consensus Filter [PDF]

, 2011
An algorithm called the extended Kalman-Consensus filter is developed as an extension of the Kalman-Consensus filter to the non-linear case. The extended Kalman- Consensus filter is a technique for estimating the state of a non-linear process disturbed ...
Pellett, Andrew
core  

Subspace‐Based System Identification From Binary Measurements

Asian Journal of Control, EarlyView.
ABSTRACT This paper is concerned with subspace identification from binary measurements for systems whose dynamical behavior can be splited into a deterministic and a stochastic subsystem. An identification algorithm is detailed. The main contribution of the proposed identification algorithm lies in the identification of both the deterministic subsystem
Alex Ali Mestrah, Mathieu Pouliquen, Eric Pigeon   +2 more
wiley   +1 more source

Performance analysis of state of charge and state of health prediction using Kalman filter techniques with battery parameter variation

Global Energy Interconnection
Accurate estimation of the State of Charge (SOC), State of Health (SOH), and Terminal Resistance (TR) is crucial for the effective operation of Battery Management Systems (BMS) in lithium-ion batteries.
Ranagani Madhavi, Indragandhi Vairavasundaram   +1 more
doaj   +1 more source

A Battery State of Charge Estimation Method with Extended Kalman Filter

, 2008
In this paper, a battery State of Charge (SOC) estimation method based on the extended Kalman filter is proposed. In some known battery SOC estimation methods, it is assumed that the relationship between battery open circuit voltage and SOC is linear and
Fang LJ(房立金), Lijin Fang, Guangjun Liu, Zhang F(张飞), Liu GJ(刘光军), Fei Zhang   +5 more
core   +1 more source

Performance change detection and recovery in inferential control loops

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract In most industrial environments, soft sensors are crucial for estimating variables that are hard to measure. It is critical that these variables be estimated quickly and accurately because they are closely linked to plant safety and profit. Therefore, performance drift in the soft sensors cannot be ignored.
Xuanhui Zhai, Yuri A. W. Shardt
wiley   +1 more source

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

Deep Underground Science and Engineering, EarlyView.
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu, Dawei Cui, Yingjie Liu, Yuntao Liang, Yue Zhang   +4 more
wiley   +1 more source

FEATURES OF UNSCENTED KALMAN FILTER PERFORMANCE USING POLAR MEASUREMENTS

Доклады Белорусского государственного университета информатики и радиоэлектроники, 2019
The principle of the unscented transformation and features of Unscented Kalman filter performance using polar measurement is considered. The estimation performance of Extended Kalman filter and Unscented Kalman Filter is compared.
P. A. Khmarski, A. S. Solonar
doaj  

Estimation of Lithium-Ion Battery State of Charge: A Comparative Study of Four Variants of Kalman Filters Based on Equivalent Circuit Model

Emitor: Jurnal Teknik Elektro
State of Charge (SoC) adalah parameter kritis dalam Sistem Manajemen Baterai (BMS) lithium-ion, karena mempengaruhi keselamatan, kerahasiaan, dan efisiensi operasional.
Axiosa Nalendra Haidar Putra, Arya Kusumawardana, Heri Wijayanto, Satrio Prakoso   +3 more
doaj   +1 more source

Remaining Useful Life Prediction of Photovoltaic Modules Based on Kalman Filter and Variational Inference

Energy Science &Engineering, EarlyView.
A rolling local inference framework integrates Kalman filtering, RTS smoothing, variational parameter estimation, and first‐passage‐time analysis for probabilistic remaining useful life prediction of photovoltaic modules. The framework provides stage‐dependent RUL estimates with prediction intervals while explicitly characterizing degradation ...
Wei Chen, Ao Wang, Tingting Pei, Yang Wu
wiley   +1 more source