Zobrazeno 1 - 10
of 922
pro vyhledávání: '"linear time-invariant dynamical systems"'
This paper presents a system identification framework -- inspired by multi-task learning -- to estimate the dynamics of a given number of linear time-invariant (LTI) systems jointly by leveraging structural similarities across the systems. In particu
Externí odkaz:
http://arxiv.org/abs/2301.01430
Publikováno v:
In Automatica June 2024 164
Linear time-invariant systems are very popular models in system theory and applications. A fundamental problem in system identification that remains rather unaddressed in extant literature is to leverage commonalities amongst related linear systems t
Externí odkaz:
http://arxiv.org/abs/2112.10955
This work aims to advance computational methods for projection-based reduced order models (ROMs) of linear time-invariant (LTI) dynamical systems. For such systems, current practice relies on ROM formulations expressing the state as a rank-1 tensor (
Externí odkaz:
http://arxiv.org/abs/2009.11742
Publikováno v:
In Chinese Journal of Aeronautics June 2022 35(6):1-17
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 1 October 2021 384
Publikováno v:
Chinese Journal of Aeronautics. 35:1-17
Distributed state estimation is of paramount importance in many applications involving the large-scale complex systems over spatially deployed networked sensors. This paper provides an overview for analysis of distributed state estimation algorithms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1bdb86a18f1ff2dc8ad97267f7ad275
https://doi.org/10.1016/j.cja.2021.06.010
https://doi.org/10.1016/j.cja.2021.06.010
Conference
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Publikováno v:
2022 56th Asilomar Conference on Signals, Systems, and Computers.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4bde6d422454315c33e8ee6bb2d05a2
https://doi.org/10.1109/ieeeconf56349.2022.10052021
https://doi.org/10.1109/ieeeconf56349.2022.10052021