Composed Physics- and Data-driven System Identification for Non-autonomous Systems in Control Engineering

Götte, Ricarda-Samantha; Timmermann, Julia

doi:10.1109/airc56195.2022.9836982

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…) with g as gravity constant and the same parameters p = (m, a, d, J, r, µ) T utilized as in Götte and Timmermann (2022); Schön et al (2022). Here, the joint model ( 2) is the model that completely lacks of the term M F .…”

Section: Golf Robotmentioning

confidence: 99%

Estimating States and Model Uncertainties Jointly by a Sparsity Promoting UKF

Götte¹,

Timmermann²

2022

Preprint

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State estimation when only a partial model of a considered system is available remains a major challenge in many engineering fields. This work proposes a joint, square-root unscented Kalman filter to estimate states and model uncertainties simultaneously by linear combinations of physics-motivated library functions. Using a sparsity promoting approach, a selection of those linear combinations is chosen and thus an interpretable model can be extracted. Results indicate a small estimation error compared to a traditional square-root unscented Kalman filter and exhibit the enhancement of physically meaningful models.

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Section: Golf Robotmentioning

confidence: 99%

Estimating States and Model Uncertainties Jointly by a Sparsity Promoting UKF

Götte¹,

Timmermann²

2022

Preprint

Self Cite

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“…The experimental part transcends from observation, allowing to manipulate the variables that intervene in the studies of natural phenomena through a previous data analysis to Eldia et al, [6], for this reason, Physics is applied to understand each aspect of nature and try to order it in based on experiments to Alsaleh et al, [7], commonly carried out in a laboratory to introduce or eliminate variables that influence the behaviour of matter, such as its movement along with its energy and force to Zhang et al, [8], likewise, the application of Physics has allowed an important development in daily life from people by his various fields of study who have related him to almost everything in some way or another to Gotte et al, [9].…”

Section: Introductionmentioning

confidence: 99%

Virtual Assistance System for Teaching Physics Experiments in University Students

Lucía Asencios-Trujillo,

Lida Asencios-Trujillo,

Carlos LaRosa-Longobardi

et al. 2024

ARASET

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According to previous studies, it can be seen that education has been facing new challenges to improve the quality of student teaching by achieving a better interpretation of the conceptual part and the experimental part as they are directly related, improving learning in natural science courses that require students to carry out experiments in laboratories to consolidate their knowledge. The problem raised in this research is that the teaching of the theoretical part is more important than the experimental part with respect to the Physics course due to the little time students have in the laboratories, as well as the limited space that does not allow them to freely carry out experiments in laboratories as poor infrastructure, resulting disadvantageous for students by not demonstrating the hypotheses raised from the theory that would allow them to consolidate their knowledge. The aim of this research work is to develop a virtual assistance system for teaching physics experiments to university students with a high level of reality in order to improve the student's experimental practice, taking advantage of a new form of centralised teaching that prioritises the student's time and space through a dynamic interface. The methodology used for this research is based on a client-server model, a TCP/IP data protocol that allows the computer to send and receive data, graphical features of the operating system with the Microsoft Windows platform for interaction with the virtual laboratory without time restriction. According to the tests carried out, it was observed that the virtual assistance system was performed efficiently by detailing the tests of its corresponding function with an efficiency of 95.14%, which is a high value for a virtual laboratory system that allows experimental processes to be carried out. It was concluded that this system presents a dynamic interaction to perform experiments in the virtual physics laboratory with the appropriate materials for better learning.

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