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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…
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Keywords:
history dependent;
material state;
state;
state variables ... See more keywords
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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…
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Keywords:
state;
state estimation;
approach;
estimation approach ... See more keywords
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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…
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Keywords:
intelligence;
cascading introreflections;
cybernetic analysis;
natural intelligence ... See more keywords
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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…
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Keywords:
state variables;
biomass boilers;
fuel;
biomass ... See more keywords
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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…
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Keywords:
climatology;
state variables;
model;
forecast ... See more keywords
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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…
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Keywords:
mechanism;
maximum entropy;
ecology;
reinterpreting maximum ... See more keywords
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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…
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Keywords:
class fractional;
fractional order;
order chaotic;
state variables ... See more keywords
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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…
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Keywords:
state variables;
methodology;
lattice;
cross sections ... See more keywords
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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…
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Keywords:
truncated functions;
using asymmetric;
arbitrarily large;
convergence ... See more keywords