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pro vyhledávání: '"Nouwens S"'
Model Predictive Control (MPC) is a successful control methodology, which is applied to increasingly complex systems. However, real-time feasibility of MPC can be challenging for complex systems, certainly when an (extremely) large number of constrai
Externí odkaz:
http://arxiv.org/abs/2410.18484
Optimization-based controllers, such as Model Predictive Control (MPC), have attracted significant research interest due to their intuitive concept, constraint handling capabilities, and natural application to multi-input multi-output systems. Howeve
Externí odkaz:
http://arxiv.org/abs/2410.17646
Accurate state estimates are required for increasingly complex systems, to enable, for example, feedback control. However, available state estimation schemes are not necessarily real-time feasible for certain large-scale systems. Therefore, we develo
Externí odkaz:
http://arxiv.org/abs/2410.17643
Model predictive control (MPC) is an optimization-based control strategy with broad industrial adoption. Unfortunately, the required computation time to solve the receding-horizon MPC optimization problem can become prohibitively large for many appli
Externí odkaz:
http://arxiv.org/abs/2410.17639
In this paper, we propose a data-driven predictive control scheme based on measured frequency-domain data of the plant. This novel scheme complements the well-known data-driven predictive control (DeePC) approach based on time series data. To develop
Externí odkaz:
http://arxiv.org/abs/2406.12498
Reducing the computation time of model predictive control (MPC) is important, especially for systems constrained by many state constraints. In this paper, we propose a new online constraint removal framework for linear systems, for which we coin the
Externí odkaz:
http://arxiv.org/abs/2303.16581
Autor:
Nouwens, S. A. N.1 s.a.n.nouwens@tue.nl, Paulides, M. M.2,3, Fölker, J.1, VilasBoas-Ribeiro, I.2, de Jager, B.1, Heemels, W. P. M. H.1
Publikováno v:
International Journal of Hyperthermia. 2022, Vol. 39 Issue 1, p967-976. 10p.
Akademický článek
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Publikováno v:
Proceedings of 34th Annual Meeting European Society for Hyperthermic Oncology, ESHO 2022
Introduction: In clinical practice at Erasmus MC, the target-to-hotspot-quotient (THQ) of the specific absorption rate (SAR) is used to optimize phases and amplitudes of the signals to be applied to the hyperthermia applicator [1]. Recent research sh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::718a7275069e7d19598333f1af5e068d
https://research.tue.nl/nl/publications/b87b763b-863e-4361-aa29-39f0a11351f7
https://research.tue.nl/nl/publications/b87b763b-863e-4361-aa29-39f0a11351f7
Akademický článek
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