Formulation and numerical implementation of a state parameter-based generalized plasticity model for mine tailings
Sign Up to like & getrecommendations! Published in 2021 at "Computers and Geotechnics"
DOI: 10.1016/j.compgeo.2021.104158
Abstract: Abstract Mine tailings are rock flour that is generally deposited in tailings dams. When deposited in a loose and saturated state, the tailings are prone to flow liquefaction. Simulating the onset of liquefaction and the… read more here.
Keywords: state parameter; model; state; mine tailings ... See more keywords
Active state and parameter estimation as part of intelligent battery systems
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Energy Storage"
DOI: 10.1016/j.est.2021.102638
Abstract: Abstract In recent years, intelligent battery systems came into researchers’ focus, which comprise sensors and actuators on cell level. These architectures allow the battery management system to observe and to control the current flow within… read more here.
Keywords: parameter; state parameter; parameter estimation; battery ... See more keywords
Combined state and parameter estimation for a landslide model using Kalman filter
Sign Up to like & getrecommendations! Published in 2021 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2021.08.376
Abstract: The paper presents a combined state and parameter estimation for a landslide model using a Kalman filter. The model under investigation is based on underlying mechanics that depicts a landslide behavior. This system is described… read more here.
Keywords: state; parameter estimation; state parameter; kalman filter ... See more keywords
Ensemble data assimilation for ocean biogeochemical state and parameter estimation at different sites
Sign Up to like & getrecommendations! Published in 2017 at "Ocean Modelling"
DOI: 10.1016/j.ocemod.2017.02.006
Abstract: Abstract We develop an efficient data assimilation system that aims at quantifying the uncertainties of various biogeochemical states and parameters. We explore the use of four different ensemble estimation techniques for tuning poorly constrained ecosystem… read more here.
Keywords: assimilation; state; estimation; data assimilation ... See more keywords
Input-state-parameter estimation of structural systems from limited output information
Sign Up to like & getrecommendations! Published in 2019 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2019.02.040
Abstract: Abstract A successive Bayesian filtering framework for addressing the joint input-state-parameter estimation problem is proposed in this study. Following the notion of analytical, rather than hardware redundancy, the envisaged scheme, (i) adopts realistic assumptions on… read more here.
Keywords: parameter estimation; state parameter; parameter; input state ... See more keywords
State and Parameter Estimation in Distributed Constrained Systems. 1. Extended Kalman Filtering of a Special Class of Differential-Algebraic Equation Systems
Sign Up to like & getrecommendations! Published in 2017 at "Industrial & Engineering Chemistry Research"
DOI: 10.1021/acs.iecr.6b02796
Abstract: State and parameter estimation plays an important role in many different engineering fields. Estimation of systems described by linear and nonlinear differential equations has been very well studied in the literature. Work in the past… read more here.
Keywords: constrained systems; estimation; parameter estimation; differential algebraic ... See more keywords
A hybrid GMDH neural network and logistic regression framework for state parameter-based liquefaction evaluation
Sign Up to like & getrecommendations! Published in 2021 at "Canadian Geotechnical Journal"
DOI: 10.1139/cgj-2020-0686
Abstract: The cyclic stress or liquefaction behavior of granular materials is strongly affected by the relative density and confining pressure of the soil. In this study, the state parameter accounting for b... read more here.
Keywords: liquefaction; hybrid gmdh; state parameter; gmdh neural ... See more keywords
State-Of-Charge Estimation for Lithium-Ion Battery Using Improved DUKF Based on State-Parameter Separation
Sign Up to like & getrecommendations! Published in 2019 at "Energies"
DOI: 10.3390/en12214036
Abstract: State-of-charge estimation and on-line model modification of lithium-ion batteries are more urgently required because of the great impact of the model accuracy on the algorithm performance. This study aims to propose an improved DUKF based… read more here.
Keywords: state; state charge; estimation; state parameter ... See more keywords