DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Young-Jin | ko |
dc.contributor.author | Choi, Han-Lim | ko |
dc.date.accessioned | 2023-07-28T06:00:20Z | - |
dc.date.available | 2023-07-28T06:00:20Z | - |
dc.date.created | 2023-07-07 | - |
dc.date.issued | 2019-01 | - |
dc.identifier.citation | AIAA Scitech Forum, 2019 | - |
dc.identifier.uri | http://hdl.handle.net/10203/310942 | - |
dc.description.abstract | The goal of system identification is to learn about underlying physics dynamics behind the time-series data. To model the probabilistic and nonparametric dynamics model, Gaussian process (GP) have been widely used; GP can estimate the uncertainty of prediction and avoid over-fitting. Traditional GPSSMs, however, are based on Gaussian transition model, thus often have difficulty in describing a more complex transition model, e.g. aircraft motions. To resolve the challenge, this paper proposes a framework using multiple GP transition models which is capable of describing multi-modal dynamics. Furthermore, we extend the model to the information-theoretic framework, the so-called InfoSSM, by introducing a mutual information regularizer helping the model to learn interpretable and distinguishable multiple dynamics models. Two illustrative numerical experiments in simple Dubins vehicle and high-fidelity flight simulator are presented to demonstrate the performance and interpretability of the proposed model. Finally, this paper introduces a framework using InfoSSM with Bayesian filtering for air traffic control tracking. | - |
dc.language | English | - |
dc.publisher | American Institute of Aeronautics and Astronautics Inc, AIAA | - |
dc.title | Infossm: Interpretable unsupervised learning of nonparametric state-space model for multi-modal dynamics | - |
dc.type | Conference | - |
dc.identifier.scopusid | 2-s2.0-85083942870 | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | AIAA Scitech Forum, 2019 | - |
dc.identifier.conferencecountry | US | - |
dc.identifier.conferencelocation | San Diego, CA | - |
dc.identifier.doi | 10.2514/6.2019-0681 | - |
dc.contributor.localauthor | Choi, Han-Lim | - |
dc.contributor.nonIdAuthor | Park, Young-Jin | - |
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