Multiple Model Adaptive Complementary Filter for Attitude Estimation
Sign Up to like & getrecommendations! 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
Multiple-model adaptive control architecture for a quadrotor with constant unknown mass and inertia
Sign Up to like & getrecommendations! 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
Bifurcation analysis in an epidemic model on adaptive networks.
Sign Up to like & getrecommendations! 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… read more here.
Keywords: bifurcation; model adaptive; epidemic model; bifurcation analysis ... See more keywords
MAda-Net: Model-Adaptive Deep Learning Imaging for SAR Tomography
Sign Up to like & getrecommendations! 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… read more here.
Keywords: network; model adaptive; deep learning; model ... See more keywords