Results 51 to 60 of about 63,163 (313)

Quadrature Kalman filter–based state of charge estimation for lithium-ion battery

Advances in Mechanical Engineering, 2020
This article presents an approach to lithium-ion battery state of charge estimation based on the quadrature Kalman filter. Among the existing state of charge estimation approaches, the extended Kalman filter–based state of charge and unscented filter ...
Mengtao Huang, Chao Wang, Bao Liu, Fan Wang, Jingting Wang   +4 more
doaj   +1 more source

Harnessing Machine Learning and Deep Learning Approaches for Laser‐Induced Breakdown Spectroscopy Data Analysis: A Comprehensive Review

Analysis &Sensing, EarlyView.
Laser‐induced breakdown spectroscopy (LIBS), an atomic emission technique, is widely applied in fields like geology and biology. This rapid elemental analysis method leverages computational tools to boost precision and speed up data processing. This review explores machine learning and deep learning methods for analyzing LIBS spectral data, tackling ...
Pegah Dehbozorgi, Ludovic Duponchel, Vincent Motto‐Ros, Thomas Bocklitz   +3 more
wiley   +1 more source

The Reduced Rank of Ensemble Kalman Filter to Estimate the Temperature of Non Isothermal Continue Stirred Tank Reactor

Jurnal Teknik Industri, 2011
Kalman filter is an algorithm to estimate the state variable of dynamical stochastic system. The square root ensemble Kalman filter is an modification of Kalman filter.
Erna Apriliani, Dieky Adzkiya, Arief Baihaqi   +2 more
doaj  

Efficient Dynamics: Reduced‐Order Modeling of the Time‐Dependent Schrödinger Equation

Advanced Physics Research, EarlyView.
Reduced‐order modeling (ROM) approaches for the time‐dependent Schrödinger equation are investigated, highlighting their ability to simulate quantum dynamics efficiently. Proper Orthogonal Decomposition, Dynamic Mode Decomposition, and Reduced Basis Methods are compared across canonical systems and extended to higher dimensions.
Kolade M. Owolabi
wiley   +1 more source

Benchmarking the Transferability of Real‐Time State of Charge Algorithms to Sodium‐Ion Cells Using an Open‐Source Diagnostics Framework

Batteries &Supercaps, EarlyView.
Our open‐source evaluation framework enables rigorous benchmarking of real‐time algorithims. We showcase its functionality through a sodium‐ion battery case study, highlighting key strenghts and limitations for SOC diagnostics. Despite the abundance of battery state estimation algorithms in the BMS literature, their applicability to emerging cell ...
Katharina Lilith Quade, Elias Hempen, Hanna van den Berg, Dominik Jöst, Franziska Berger, Florian Ringbeck, Dirk Uwe Sauer   +6 more
wiley   +1 more source

PENAKSIRAN KESENJANGAN OUTPUT INDONESIA: APLIKASI METODE KALMAN FILTER DAN HODRICK-PRESCOTT FILTER

Journal of Indonesian Applied Economics, 2012
This  research will measure  the potential output  in  Indonesia using Kalman-filterand Hodrick-Prescott Filter. The model will  observe  the variations of output  gapand inflation in Indonesia.
Teguh Hadi Priyono
doaj   +1 more source

Closed Loop Subspace Identification [PDF]

Modeling, Identification and Control, 2005
A new three step closed loop subspace identifications algorithm based on an already existing algorithm and the Kalman filter properties is presented. The Kalman filter contains noise free states which implies that the states and innovation are uneorre ...
Geir W. Nilsen, David Di Ruscio
doaj   +1 more source

A Review on Quantitative Process Analytical Technology for Continuous Downstream Processing of Monoclonal Antibodies

Biotechnology and Bioengineering, EarlyView.
ABSTRACT The competition in the biopharmaceutical market is increasing due to the market entry of biosimilars and rising costs in research and development of new drugs. Hence, continuous manufacturing gained significant attention due to its potential in reducing production cycle times and costs, as well as the possibility of real‐time release testing ...
Mariana Carvalho, Ana Cruz, Cees Haringa, Marcel Ottens, Marieke Klijn   +4 more
wiley   +1 more source

An observation‐driven state‐space model for claims size modelling

Canadian Journal of Statistics, EarlyView.
Abstract State‐space models are popular in econometrics. Recently, these models have gained some popularity in the actuarial literature. The best known state‐space models are of the Kalman‐filter type. These are called parameter‐driven because the observations do not impact the state‐space dynamics.
Jae Youn Ahn, Himchan Jeong, Mario V. Wüthrich   +2 more
wiley   +1 more source

Structural Health Monitoring of a Unidirectional Isolation Bridge: Bidirectional Seismic Behavior, Stochastic Model Updating, and Prediction

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Accurate mechanical characterization of civil engineering structures after construction remains challenging due to the unique complexities of each structure, including geometric configurations, imperfect design modeling assumptions, soil conditions, and pervasive uncertainties in actual operational environments. Leveraging actual measurements,
Xinhao He, Shigeki Unjoh, Takuya Makino, Chiaki Nagao, Akira Shibasaki, Tadayuki Noro, Shinsuke Yamazaki, Hiroshi Ogami   +7 more
wiley   +1 more source