2020 IEEE International Conference on Automation Science & Engineering CASE - Attitude Estimation
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Title: Nonlinear Attitude Filter on SO(3): Fast Adaptation and Robustness
2020 IEEE 16th International Conference on Automation Science and Engineering CASE - Hong Kong
Authors: Ajay Singh, Trenton S. Sieb, James H. Howe, and Hashim A Hashim
The work has been completed by a group of undergraduate students: Ajay Singh, Trenton S, Sieb, and James H. Howe
Under the supervision of Dr. Hashim A Hashim
All authors are with: Software Engineering, Department of Engineering & Applied Science, Thompson Rivers University, Kamloops, British Columbia, Canada
The conference was presented by Ajay Singh
This work was supported in part by Thompson Rivers University Internal research fund, RGS-2020/21 IRF.
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This conference paper presents a nonlinear attitude filter using the tools of artificial intelligence to tackle the trade-off between robustness and fast adaptation.