A remapping scheme for history‐dependent material state variables
Sign Up to like & getrecommendations! Published in 2020 at "International Journal for Numerical Methods in Engineering"
DOI: 10.1002/nme.6350
Abstract: We present an interpolation scheme for use with material models involving history‐dependent state variables. The interpolation scheme is based on the solution of a constrained optimization problem, to identify the smoothest monotone curve which produces… read more here.
Keywords: history dependent; material state; state; state variables ... See more keywords
A state estimation approach based on stochastic expansions
Sign Up to like & getrecommendations! Published in 2018 at "Computational and Applied Mathematics"
DOI: 10.1007/s40314-017-0515-0
Abstract: This paper presents a new approach for state estimation problems. It is based on the representation of random variables using stochastic functions. Its main idea is to expand the state variables in terms of the… read more here.
Keywords: state; state estimation; approach; estimation approach ... See more keywords
Cybernetic Analysis of Natural Intelligence
Sign Up to like & getrecommendations! Published in 2017 at "Biophysical Journal"
DOI: 10.1016/j.bpj.2016.11.1644
Abstract: Over thirty years ago, we conjectured that the bilateral brain capable of introreflection is a multi-level disystem (a sufficient condition) for generating natural intelligence and consciousness. Cascading introreflections can generate a hierarchy of semantic systems… read more here.
Keywords: intelligence; cascading introreflections; cybernetic analysis; natural intelligence ... See more keywords
Simultaneous state and fuel property estimation in biomass boilers - theory and practice
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.1920
Abstract: Abstract A key factor for the further distribution of biomass boilers in modern energy systems is the capability of changing the applied feedstock during normal plant operation. This is only possible with the application of… read more here.
Keywords: state variables; biomass boilers; fuel; biomass ... See more keywords
A Machine Learning‐Based Global Atmospheric Forecast Model
Sign Up to like & getrecommendations! Published in 2020 at "Geophysical Research Letters"
DOI: 10.1029/2020gl087776
Abstract: The paper investigates the applicability of machine learning (ML) to weather prediction by building a reservoir computing‐based, low‐resolution, global prediction model. The model is designed to take advantage of the massively parallel architecture of a… read more here.
Keywords: climatology; state variables; model; forecast ... See more keywords
Event-Triggered Distribution System State Estimation: Sparse Kalman Filtering With Reinforced Coupling
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2023.3270421
Abstract: A novel distribution system state estimation (DSSE) method is proposed for power distribution networks with low-observablity, where the measurements come from only a few distribution-level phasor measurement units (D-PMUs). The proposed DSSE method is event-triggered,… read more here.
Keywords: state variables; distribution; event triggered; state ... See more keywords
Reinterpreting maximum entropy in ecology: a null hypothesis constrained by ecological mechanism.
Sign Up to like & getrecommendations! Published in 2017 at "Ecology letters"
DOI: 10.1111/ele.12788
Abstract: Simplified mechanistic models in ecology have been criticised for the fact that a good fit to data does not imply the mechanism is true: pattern does not equal process. In parallel, the maximum entropy principle… read more here.
Keywords: mechanism; maximum entropy; ecology; reinterpreting maximum ... See more keywords
The Synchronization of a Class Fractional-order Chaotic System by Using the Recovered State Variables and Backstepping Control
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Computational and Nonlinear Dynamics"
DOI: 10.1115/1.4062568
Abstract: This paper investigates the synchronization problem of a class of fractional order chaotic systems with output variables. Based on the system output, the observer scheme is given to recover the state variables. By using the… read more here.
Keywords: class fractional; fractional order; order chaotic; state variables ... See more keywords
Theoretical Considerations for Patient-Specific Modeling Based on Observable State Variables.
Sign Up to like & getrecommendations! Published in 2025 at "Journal of biomechanical engineering"
DOI: 10.1115/1.4069924
Abstract: In this study, we address fundamental theoretical considerations that should guide biomedical engineers in the assessment of patient-specific risk of tissue failure, or the assesment of other material properties needed for patient-specific computational modeling, based… read more here.
Keywords: patient specific; state variables; material properties; observable state ... See more keywords
The improvement of short-term quantitative precipitation forecast in mountainous areas by the assimilation of meteorological state variables retrieved by multiple-Doppler radar data
Sign Up to like & getrecommendations! Published in 2024 at "Monthly Weather Review"
DOI: 10.1175/mwr-d-23-0230.1
Abstract: This study presents a sequential procedure formulated by combining a multiple-Doppler radar wind synthesis technique with a thermodynamic retrieval method, which can be applied to retrieve the three-dimensional wind, pressure, temperature, rainwater mixing ratio, and… read more here.
Keywords: meteorological state; doppler radar; multiple doppler; state variables ... See more keywords
Methodology for Sensitivity Analysis of Homogenized Cross-Sections to Instantaneous and Historical Lattice Conditions with Application to AP1000® PWR Lattice
Sign Up to like & getrecommendations! Published in 2021 at "Energies"
DOI: 10.3390/en14123378
Abstract: In the two-step method for nuclear reactor simulation, lattice physics calculations are performed to compute homogenized cross-sections for a variety of burnups and lattice configurations. A nodal code is then used to perform full-core analysis… read more here.
Keywords: state variables; methodology; lattice; cross sections ... See more keywords