Articles with "state variables" as a keyword



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A remapping scheme for history‐dependent material state variables

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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
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A state estimation approach based on stochastic expansions

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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
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Cybernetic Analysis of Natural Intelligence

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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
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Simultaneous state and fuel property estimation in biomass boilers - theory and practice

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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
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A Machine Learning‐Based Global Atmospheric Forecast Model

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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
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Reinterpreting maximum entropy in ecology: a null hypothesis constrained by ecological mechanism.

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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
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The Synchronization of a Class Fractional-order Chaotic System by Using the Recovered State Variables and Backstepping Control

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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
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Methodology for Sensitivity Analysis of Homogenized Cross-Sections to Instantaneous and Historical Lattice Conditions with Application to AP1000® PWR Lattice

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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
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Convergence Assessment of the Trajectories of a Bioreaction System by Using Asymmetric Truncated Vertex Functions

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Published in 2020 at "Symmetry"

DOI: 10.3390/sym12040513

Abstract: In several open and closed-loop systems, the trajectories converge to a region instead of an equilibrium point. Identifying the convergence region and proving the asymptotic convergence upon arbitrarily large initial values of the state variables… read more here.

Keywords: truncated functions; using asymmetric; arbitrarily large; convergence ... See more keywords