Modeling Asymmetry of Information for a Sample of the Chilean Companies Using Deterministic and Stochastic Methodologies

Fuente‐Mella, Hanns de la; Cademartori-Rosso, David; Silva-Palavecinos, Berta; Campos-Espinoza, Ricardo; Paz, Alexander

doi:10.1109/smrlo.2016.91

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Parameters Identification1

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2018

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“…The GOF of a statistical model describes how well it fits a set of observations. The R-squared is used in this paper to measure the GOF, 35 it is defined as…”

Section: Parameters Identificationmentioning

confidence: 99%

A dynamic model parameter identification method for quadrotors using flight data

Lyu

Bao

Lai

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part G:

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The dynamic model parameter identification is important for unmanned aerial vehicle modeling and control. The unmanned aerial vehicle model parameters are usually identified through wind tunnel experiments, which are complex. In this paper, a model parameter identification method is proposed using the flight data for quadrotors. The parameters of the thrust, drag force, torque, rolling moment and pitching moment are estimated through Kalman filter. Global positioning system and inertial sensors are used as measurements. The observabilities of the model parameters and their degrees of observability are analyzed. Flight experiments are carried out to verify the proposed method. It is shown that the model parameters estimated by the proposed method have good accuracies, demonstrating the validity of the proposed method.

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“…The GOF of a statistical model describes how well it fits a set of observations. The R-squared is used in this paper to measure the GOF, 35 it is defined as…”

Section: Parameters Identificationmentioning

confidence: 99%