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CEITEC, RG-3-02 – Researcher
Dominik.Friml@ceitec.vutbr.cz
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2023
FRIML, D.; VÁCLAVEK, P. Recursive Variational Inference for Total Least-Squares. IEEE Control Systems Letters, 2023, vol. 7, no. 1, p. 2839-2844. ISSN: 2475-1456.Detail | WWW | Full text in the Digital Library
2022
FRIML, D.; VÁCLAVEK, P. Bayesian Inference of Total Least-Squares With Known Precision. In Proceedings of the IEEE Conference on Decision and Control. IEEE, 2022. p. 1-6. ISBN: 978-1-66-546761-2.Detail | WWW | Full text in the Digital Library
2021
FRIML, D.; KOZUBÍK, M.; VÁCLAVEK, P. On Improving TLS Identification Results Using Nuisance Variables with Application on PMSM. In IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2021. p. 1-6. ISBN: 978-1-6654-3554-3.Detail | WWW | Full text in the Digital Library
KOZUBÍK, M.; FRIML, D. Differential Evolution Based Nonlinear Model Predictive Speed Control of PMSM Implemented on GPU. In Proceedings of 2021 IEEE 30th International Symposium on Industrial Electronics (ISIE). IEEE, 2021. p. 01-06. ISBN: 978-1-7281-9023-5.Detail | WWW | Full text in the Digital Library
FRIML, D. DERIVATION AND PRACTICAL COMPARISON OF RECURSIVE LS AND TLS SYSTEM IDENTIFICATION METHODS. In PROCEEDINGS I OF THE 27TH STUDENT EEICT 2021. Proceedings II of the Conference STUDENT EEICT. 2021. p. 404-409. ISBN: 978-80-214-5942-7. ISSN: 2788-1334.Detail | WWW
2020
FRIML, D. QUALITY IMPROVEMENT OF LQG CONTROL USING H∞ OPTIMIZATION. In Proceedings II of the 26th Conference STUDENT EEICT 2020. 2020. p. 80-83. ISBN: 978-80-214-5868-0.Detail | WWW
2018
FRIML, D. EDEMS - COMPUTER SIMULATOR FOR LEARNING. In Proceedings of the 24thConference STUDENT EEICT 2018. 2018. p. 53-55. ISBN: 978-80-214-5614-3.Detail | WWW
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