Výsledky vyhledávání - "Paul Van Den Hof"

Parameter estimation of an electrochemistry-based lithium-ion battery model using a two-step procedure and a parameter sensitivity analysis

Autor: N Ning Jin, Pmj Paul van den Hof, Mcf Tijs Donkers, DL Dmitry Danilov

Publikováno v: International Journal of Energy Research. 42:2417-2430

Lithium-ion batteries are indispensable in various applications owing to their high specific energy and long service life. Lithium-ion battery models are used for investigating the behavior of the battery and enabling power control in applications. T

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5ada6831fd96275451f6e635fb350825
https://doi.org/10.1002/er.4022

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An adaptive robust optimization scheme for water-flooding optimization in oil reservoirs using residual analysis * *The authors acknowledge financial support from the Recovery Factory program sponsored by Shell Global Solutions International

Autor: Jan Dirk Jansen, MM Muhammad Siraj, Pmj Paul van den Hof

Publikováno v: IFAC-PapersOnLine. 50:11275-11280

Model-based dynamic optimization of the water-flooding process in oil reservoirs is a computationally complex problem and suffers from high levels of uncertainty. A traditional way of quantifying uncertainty in robust water-flooding optimization is b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3005685d18cf7da5d2c37571c6b1aa2c
https://doi.org/10.1016/j.ifacol.2017.08.1632

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Conditions for handling confounding variables in dynamic networks * *The work of A. Dankers is supported by Mitacs of Canada. The work of P. Van den Hof and H. Weerts is supported by the European Research Council (ERC), Advanced Research Grant SYSDYNET, under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 694504)

Autor: Arne Dankers, Hhm Harm Weerts, Pmj Paul van den Hof, Donatello Materassi

Publikováno v: IFAC-Papers

In this paper we focus on consistently identifying a transfer function (module) embedded in a dynamic network. When identifying a module embedded in a dynamic network, a critical choice is which variables to include as predictor inputs. In the system

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6cd40b5c99e21fc8e6e8c3125154df9d
https://doi.org/10.1016/j.ifacol.2017.08.771

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Robust optimization of water-flooding in oil reservoirs using risk management tools

Autor: Jan Dirk Jansen, MM Muhammad Siraj, Pmj Paul van den Hof

Publikováno v: IFAC-PapersOnLine, 49(7)

The theory of risk provides a systematic approach to handling uncertainty withwell-defined risk and deviation measures. As the model-based economic optimization of the water-flooding process in oil reservoirs suffers from high levels of uncertainty,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::688504e81318a8d577c77b1e5b7c238b
https://doi.org/10.1016/j.ifacol.2016.07.229

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Identifiability of dynamic networks with part of the nodes noise-free

Autor: Hhm Harm Weerts, Arne Dankers, Pmj Paul van den Hof

Publikováno v: IFAC-PapersOnLine. 49:19-24

In dynamic network identification a major goal is to uniquely identify the topology and dynamic links between the measured node variables. It is common practice to assume that process noises affect every output in multivariable system identification,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::373cab85d00f2e592489cb27c351f57b
https://doi.org/10.1016/j.ifacol.2016.07.920

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Identification in dynamic networks

Autor: Pmj Paul van den Hof, Hhm Harm Weerts, Arne Dankers

Publikováno v: Computers & Chemical Engineering
Computers and Chemical Engineering, 109, 23-29. Elsevier

System identification is a common tool for estimating (linear) plant models as a basis for model-based predictive control and optimization. The current challenges in process industry, however, ask for data-driven modelling techniques that go beyond t

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Identifiability in dynamic network identification

Autor: Arne Dankers, Pmj Paul van den Hof, Hhm Harm Weerts

Publikováno v: IFAC-PapersOnLine. 48:1409-1414

Dynamic networks are structured interconnections of dynamical systems driven by external excitation and disturbance signals. We develop the notion of network identifiability, a property of a parameterized model set that ensures that module dynamics a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3495c9de619c474e93404d42e50851b8
https://doi.org/10.1016/j.ifacol.2015.12.330

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Handling risk of uncertainty in model-based production optimization: a robust hierarchical approach

Autor: MM Muhammad Siraj, Pmj Paul van den Hof, Jan Dirk Jansen

Publikováno v: IFAC-PapersOnLine. 48:248-253

Model-based economic optimization of oil production suffers from high levels of uncertainty. The limited knowledge of reservoir model parameters and varying economic conditions are the main contributors of uncertainty. The negative impact of these un

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::956abd1cd2ba6e1173c4839778393474
https://doi.org/10.1016/j.ifacol.2015.08.039

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Handling geological and economic uncertainties in balancing short-term and long-term objectives in waterflooding optimization

Autor: Jan Dirk Jansen, Pmj Paul van den Hof, MM Muhammad Siraj

Publikováno v: SPE Journal, 22(4), 1313-1325. Society of Petroleum Engineers (SPE)
Pure TUe
SPE Journal, 22(4)

Summary Model-based economic optimization of oil production has a significant scope to increase financial life-cycle performance. The net-present-value (NPV) objective in this optimization, because of its nature, focuses on long-term gains, whereas s

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https://research.tue.nl/nl/publications/3961ddd8-2523-47e8-9c0c-7ca8f31698a0

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Data-driven and model-based verification via Bayesian identification and reachability analysis

Autor: Sofie Haesaert, Alessandro Abate, Pmj Paul van den Hof

Publikováno v: Automatica, 79, 115-126. Elsevier

This work develops a measurement-driven and model-based formal verification approach, applicable to dynamical systems with partly unknown dynamics. We provide a new principled method, grounded on Bayesian inference and on reachability analysis respec

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http://ora.ox.ac.uk/objects/uuid:

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