Articles with "multiple model" as a keyword



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Multiple Model Adaptive Complementary Filter for Attitude Estimation

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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… read more here.

Keywords: multiple model; complementary filter; attitude estimation; model adaptive ... See more keywords
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Multiple-model adaptive control architecture for a quadrotor with constant unknown mass and inertia

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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… read more here.

Keywords: control; architecture; model; model adaptive ... See more keywords
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In vivo glucose imaging in multiple model organisms with an engineered single-wavelength sensor.

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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… read more here.

Keywords: multiple model; single wavelength; glucose imaging; imaging multiple ... See more keywords
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Multiple Model Kalman and Particle Filters and Applications: A Survey

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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… read more here.

Keywords: kalman; particle filters; filter; model ... See more keywords
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A new likelihood approach to autonomous multiple model estimation.

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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… read more here.

Keywords: autonomous multiple; estimation; multiple model; likelihood ... See more keywords
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Data-driven adaptive multiple model system utilizing growing self-organizing maps

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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… read more here.

Keywords: adaptive multiple; growing self; multiple model; data driven ... See more keywords
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Adaptive interacting multiple model-Kalman filter for multitaper spectrum sensing in cognitive radio

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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… read more here.

Keywords: spectrum sensing; kalman filter; multiple model; interacting multiple ... See more keywords

A multiple model approach for predictive control of indoor thermal environment with high resolution

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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… read more here.

Keywords: high resolution; model approach; multiple model; control ... See more keywords
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Multiple-model GWAS identifies optimal allelic combinations of quantitative trait loci for malic acid in tomato

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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… read more here.

Keywords: malic acid; model gwas; gwas identifies; tomato ... See more keywords
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Multiple-model adaptive estimator for spacecraft attitude sensor calibration

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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… read more here.

Keywords: multiple model; estimator; calibration; sensor ... See more keywords
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Interactive-Multiple-Model Algorithm Based on Minimax Particle Filtering

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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… read more here.

Keywords: imm; model; algorithm based; interactive multiple ... See more keywords