Zobrazeno 1 - 10
of 264
pro vyhledávání: '"Imsland, L."'
Integration of physics and machine learning in virtual flow metering applications is known as gray-box modeling. The combination is believed to enhance multiphase flow rate predictions. However, the superiority of gray-box models is yet to be demonst
Externí odkaz:
http://arxiv.org/abs/2110.05034
Publikováno v:
Recent Advances in Model Predictive Control, Lecture Notes in Control and Information Sciences, vol 485, 191-218 (2021)
Nonlinear model predictive control (NMPC) is an efficient approach for the control of nonlinear multivariable dynamic systems with constraints, which however requires an accurate plant model. Plant models can often be determined from first principles
Externí odkaz:
http://arxiv.org/abs/2108.06430
Autor:
Bradford, E., Imsland, L.
Model predictive control is an advanced control approach for multivariable systems with constraints, which is reliant on an accurate dynamic model. Most real dynamic models are however affected by uncertainties, which can lead to closed-loop performa
Externí odkaz:
http://arxiv.org/abs/2103.05441
Publikováno v:
Computers & Chemical Engineering, Volume 139, 106844 (2020)
Nonlinear model predictive control (NMPC) is one of the few control methods that can handle multivariable nonlinear controlsystems with constraints. Gaussian processes (GPs) present a powerful tool to identify the required plant model and quantifythe
Externí odkaz:
http://arxiv.org/abs/1908.01786
Publikováno v:
In IFAC PapersOnLine 2022 55(7):520-525
Publikováno v:
In IFAC PapersOnLine 2021 54(3):389-394
Publikováno v:
In IFAC PapersOnLine 2020 53(2):11692-11697
Publikováno v:
In Journal of Process Control March 2019 75:86-106
Publikováno v:
In IFAC PapersOnLine 2019 52(1):697-702