Publications

• 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. PROCEEDINGS I OF THE 27TH STUDENT EEICT 2021. 2021. p. 404-409. ISBN: 978-80-214-5942-7.
  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

*) Publications are generated once a 24 hours.