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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 2021 at "Cell reports"
DOI: 10.1016/j.celrep.2021.109284
Abstract: Glucose is arguably the most important molecule in metabolism, and its dysregulation underlies diabetes. We describe a family of single-wavelength genetically encoded glucose sensors with a high signal-to-noise ratio, fast kinetics, and affinities varying over…
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Keywords:
multiple model;
single wavelength;
glucose imaging;
imaging multiple ... See more keywords
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Published in 2019 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2019.06.013
Abstract: Abstract Kalman Filters (KF) is a recursive estimation algorithm, a special case of Bayesian estimators under Gaussian, linear and quadratic conditions. For non-linear systems, Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) provide first…
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Keywords:
kalman;
particle filters;
filter;
model ... See more keywords
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Published in 2019 at "ISA transactions"
DOI: 10.1016/j.isatra.2019.09.005
Abstract: This paper presents an autonomous multiple model (AMM) estimation algorithm for hybrid systems with sudden changes in their parameters. Estimates of Kalman filters (KFs) that are tuned and employed for different system modes are merged…
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Keywords:
autonomous multiple;
estimation;
multiple model;
likelihood ... See more keywords
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Published in 2017 at "Journal of Process Control"
DOI: 10.1016/j.jprocont.2017.06.006
Abstract: Abstract Data-driven soft sensors have seen tremendous development and adoption in both academia and industry. However, one of the challenges remaining is modeling process drifts, degradation and discontinuities in steady-state. Since processes are never truly…
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Keywords:
adaptive multiple;
growing self;
multiple model;
data driven ... See more keywords
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Published in 2018 at "Electronics Letters"
DOI: 10.1049/el.2017.3752
Abstract: This Letter addresses the necessity for adaptive threshold (AT) and optimum frame duration (OFD) in spectrum sensing (SS). An adaptation paradigm of Kalman filter incorporated with interacting multiple model to interrogate the channel state information…
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Keywords:
spectrum sensing;
kalman filter;
multiple model;
interacting multiple ... See more keywords
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Published in 2018 at "Journal of Building Performance Simulation"
DOI: 10.1080/19401493.2017.1317289
Abstract: Realtime and precise control strategies for indoor micro-climate are increasingly needed due to the requirements of thermal comfort and energy consumption saving in recent years. In this paper, a precise control scheme with high resolution…
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Keywords:
high resolution;
model approach;
multiple model;
control ... See more keywords
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Published in 2023 at "Horticulture Research"
DOI: 10.1093/hr/uhad021
Abstract: Abstract Malic acid (MA) is an important flavor acid in fruits and acts as a mediator in a series of metabolic pathways. It is important to understand the factors affecting MA metabolism for fruit flavor…
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Keywords:
malic acid;
model gwas;
gwas identifies;
tomato ... See more keywords
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Published in 2017 at "Aircraft Engineering and Aerospace Technology"
DOI: 10.1108/aeat-02-2015-0029
Abstract: Purpose This paper aims to present a multiple-model adaptive estimator (MMAE) to calibrate the star sensor low frequency error (LFE). The star sensor LFE, which is caused primarily by the periodic thermal distortion, has a…
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Keywords:
multiple model;
estimator;
calibration;
sensor ... See more keywords
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Published in 2020 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2019.2954000
Abstract: In this letter, we propose a new approach to tracking a target that maneuvers based on the multiple-constant-turns model. Usually, the interactive-multiple-model (IMM) algorithm based on the extended Kalman filter (IMM-EKF) is employed for this…
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Keywords:
imm;
model;
algorithm based;
interactive multiple ... See more keywords