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Published in 2017 at "Aerospace Science and Technology"
DOI: 10.1016/j.ast.2017.07.011
Abstract: Abstract Attitude estimation plays a major role in the autonomy of unmanned aerial vehicles and requires fusion of different sensor measurements. This paper describes an adaptive estimation scheme in which the weight parameter for the…
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Keywords:
multiple model;
complementary filter;
attitude estimation;
model adaptive ... See more keywords
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Published in 2021 at "Aerospace Science and Technology"
DOI: 10.1016/j.ast.2021.106899
Abstract: Abstract This paper proposes an architecture based on a multiple-model solution for height and yaw control of a quadrotor transporting an unknown constant load, added before the flight. Estimates of the inertial parameters (mass and…
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Keywords:
control;
architecture;
model;
model adaptive ... See more keywords
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Published in 2023 at "Chaos"
DOI: 10.1063/5.0130068
Abstract: In this paper, we study a delayed adaptive network epidemic model in which the local spatial connections of susceptible and susceptible individuals have time-delay effects on the rate of demographic change of local spatial connections…
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Keywords:
bifurcation;
model adaptive;
epidemic model;
bifurcation analysis ... See more keywords
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Published in 2024 at "Physica Scripta"
DOI: 10.1088/1402-4896/ad6fe4
Abstract: Destriping in remote sensing image processing remains a challenging problem, particularly when dealing with stripe noise of arbitrary orientations. Conventional methods struggle to eliminate oblique stripes, leaving a crucial gap in the production of higher-level…
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Keywords:
model adaptive;
image;
stripe noise;
remote sensing ... See more keywords
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Published in 2024 at "Physical review. E"
DOI: 10.1103/physreve.111.014422
Abstract: We investigate a large ensemble of quadratic integrate-and-fire neurons with heterogeneous input currents and adaptation variables. Our analysis reveals that, for a specific class of adaptation, termed quadratic spike-frequency adaptation, the high-dimensional system can be…
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Keywords:
adaptation;
model adaptive;
dimensional model;
networks spiking ... See more keywords
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Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3239405
Abstract: The compressive sensing (CS)-based tomographic SAR (TomoSAR) 3-D imaging method has the shortcoming of low efficiency, mainly represented in two aspects: first, the CS solver requires iterative calculation and hence is computationally expensive; second, the…
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Keywords:
network;
model adaptive;
deep learning;
model ... See more keywords