Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Caroline Blocher"'
Publikováno v:
Water Resources Management. 35:5105-5118
Hydraulic model-based leak (burst) localisation in water distribution networks is a challenging problem due to a limited number of hydraulic measurements, a wide range of leak properties, and model and data uncertainties. In this study, prior assumpt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e12585f05349a134b593857b52999a00
https://doi.org/10.1007/s11269-021-02988-z
https://doi.org/10.1007/s11269-021-02988-z
Hydraulic model-based leak (burst) localisation in water networks is a challenging problem due to uncertainties, the limited number of hydraulic measurements, and the wide range of leak properties. In this study, we investigate the use of prior assum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b94adb6223b93b17fbff7f65e5852a78
https://doi.org/10.21203/rs.3.rs-583754/v1
https://doi.org/10.21203/rs.3.rs-583754/v1
Publikováno v:
Journal of Hydraulic Engineering. 146
The ill-posed inverse problem for detecting and localizing leakage hotspots is solved using a novel optimization-based method which aims to minimize the difference between hydraulic measurement data and simulated steady states of a water distribution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a523fff9531cc6be6a63a3e61e0b4485
https://doi.org/10.1061/(asce)hy.1943-7900.0001721
https://doi.org/10.1061/(asce)hy.1943-7900.0001721
Publikováno v:
URAI
This paper discusses the learning of robot point-to-point motions via non-linear dynamical systems and Gaussian Mixture Regression (GMR). The novelty of the proposed approach consists in guaranteeing the stability of a learned dynamical system via Co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e95c48da9cdc908c64d7a6e06226461
https://doi.org/10.1109/urai.2017.7992901
https://doi.org/10.1109/urai.2017.7992901