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pro vyhledávání: '"Noack, Matti"'
This paper proposes an algebraic observer-based modulating function approach for linear time-variant systems and a class of nonlinear systems with discrete measurements. The underlying idea lies in constructing an observability transformation that in
Externí odkaz:
http://arxiv.org/abs/2401.14988
Publikováno v:
In Control Engineering Practice May 2024 146
Autor:
Noack, Matti
The class of infinite dimensional systems often occurs when dealing with distributed parameter models consisting of partial differential equations. Although forming a comprehensive description, they mainly become manageable by finite dimensional appr
Externí odkaz:
http://hdl.handle.net/20.500.12404/9251
Publikováno v:
In IFAC PapersOnLine 2023 56(2):9875-9880
Publikováno v:
In IFAC PapersOnLine 2021 54(7):268-273
Publikováno v:
In IFAC PapersOnLine 2020 53(2):4196-4201
Autor:
Pumaricra Rojas, David1 (AUTHOR) a20194219@pucp.edu.pe, Noack, Matti2 (AUTHOR) matti.noack@tu-ilmenau.de, Reger, Johann2 (AUTHOR) johann.reger@tu-ilmenau.de, Pérez-Zúñiga, Gustavo1 (AUTHOR) gustavo.perez@pucp.pe
Publikováno v:
Sensors (14248220). Jul2022, Vol. 22 Issue 13, p5008-N.PAG. 24p.
Publikováno v:
2023 IEEE International Conference on Mechatronics (ICM).
Information about the internal position and velocity of a robotic system is crucial for its control. Especially, under uncertain models, changing dynamic parameters and noisy position measurement signals, an adaptive differentiation is needed combini
In the related paper, a new approach for alinearization based algebraic state observer design is established. To receive a linear input-output relation of the nonlinear system for the state observer and to avoid the necessity of time-derivatives of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ecda3dd85e46bcf801fc5db3b10ff85
https://doi.org/10.5281/zenodo.7470242
https://doi.org/10.5281/zenodo.7470242
Autor:
Noack, Matti
The presentation focuses on the usage of the Modulating Function Method for advanced parameter estimation tasks. After a introduction to the general methodology, some insight on algebraic state estimation is provided. The central parts deals with ide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91e3aaf2c2592bf039e9c881a2df44a7