Search Results - "Poulsen, Niels K."

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  1. 1

    Prosumer Response Estimation Using SINDyc in Conjunction with Markov-Chain Monte-Carlo Sampling by Banis, Frederik, Madsen, Henrik, Poulsen, Niels K., Guericke, Daniela

    Published in Energies (Basel) (01-06-2020)
    “…Smart grid operation schemes can integrate prosumers by offering economic rewards in exchange for the desired response. In order to activate prosumers…”
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    Journal Article
  2. 2

    Feasibility of a New Approach to Initiate Insulin in Type 2 Diabetes by Aradóttir, Tinna B., Bengtsson, Henrik, Jensen, Morten L., Poulsen, Niels K., Boiroux, Dimitri, Jensen, Lea L., Schmidt, Signe, Nørgaard, Kirsten

    Published in Journal of diabetes science and technology (01-03-2021)
    “…Background: Treatment inertia and prescription complexity are among reasons that people with type 2 diabetes (T2D) do not reach glycemic targets. This study…”
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    Journal Article
  3. 3

    Sewer orientated framework for ensemble‐based chance‐constrained model predictive control by Lorenz Svensen, Jan, Henrik Niemann, Hans, Falk, Anne Katrine V., Poulsen, Niels K.

    Published in Advanced control for applications (01-12-2021)
    “…In this work, we present a framework for ensemble‐based (E) chance‐constrained (CC) model predictive control (MPC) in sewer systems. The framework considers…”
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    Journal Article
  4. 4

    A design algorithm using external perturbation to improve Iterative Feedback Tuning convergence by Huusom, Jakob K., Hjalmarsson, Håkan, Poulsen, Niels K., Jørgensen, Sten B.

    Published in Automatica (Oxford) (01-12-2011)
    “…Iterative Feedback Tuning constitutes an attractive control loop tuning method for processes in the absence of process insight. It is a purely data driven…”
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    Journal Article
  5. 5

    Modelling of fasting glucose-insulin dynamics from sparse data by Aradottir, Tinna B., Boiroux, Dimitri, Bengtsson, Henrik, Poulsen, Niels K.

    “…With the fast growth of diabetes prevalence, the disease is now considered an epidemic. Diabetes is characterized by elevated glucose levels, that may be…”
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    Conference Proceeding Journal Article
  6. 6

    Turbine Control strategies for wind farm power optimization by Mirzaei, Mahmood, Gocmen, Tuhfe, Giebel, Gregor, Sorensen, Poul Ejnar, Poulsen, Niels K.

    Published in 2015 American Control Conference (ACC) (01-07-2015)
    “…In recent decades there has been increasing interest in green energies, of which wind energy is the most important one. In order to improve the competitiveness…”
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    Conference Proceeding
  7. 7

    An MPC approach to individual pitch control of wind turbines using uncertain LIDAR measurements by Mirzaei, Mahmood, Soltani, Mohsen, Poulsen, Niels K., Niemann, Hans H.

    Published in 2013 European Control Conference (ECC) (01-07-2013)
    “…Spatial distribution of the wind field exerts unbalanced loads on wind turbine structures and it is shown these loads could be mitigated by controlling each…”
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    Conference Proceeding
  8. 8

    Model predictive control with sub-frequency actuation for long acting insulin treatment in type 2 diabetes by Aradottir, Tinna B., Boiroux, Dimitri, Bengtsson, Henrik, Jorgensen, John B., Poulsen, Niels K.

    “…Type 2 diabetes (T2D) accounts for 90% of the diabetes patients, and more than 60% of patients on insulin fail to reach treatment targets. The main reasons…”
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    Conference Proceeding
  9. 9

    New developments in state estimation for nonlinear systems by Nørgaard, Magnus, Poulsen, Niels K., Ravn, Ole

    Published in Automatica (Oxford) (01-11-2000)
    “…Based on an interpolation formula, accurate state estimators for nonlinear systems can be derived. The estimators do not require derivative information which…”
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    Journal Article
  10. 10

    Adaptive backstepping control of lightweight tower wind turbine by Galeazzi, Roberto, Borup, Kasper T., Niemann, Henrik, Poulsen, Niels K., Caponetti, Fabio

    Published in 2015 American Control Conference (ACC) (01-07-2015)
    “…This paper investigates the feasibility of operating a wind turbine with lightweight tower in the full load region exploiting an adaptive nonlinear controller…”
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    Conference Proceeding
  11. 11

    Parametric roll resonance monitoring using signal-based detection by Galeazzi, Roberto, Blanke, Mogens, Falkenberg, Thomas, Poulsen, Niels K., Violaris, Nikos, Storhaug, Gaute, Huss, Mikael

    Published in Ocean engineering (15-11-2015)
    “…Extreme roll motion of ships can be caused by several phenomena, one of which is parametric roll resonance. Several incidents occurred unexpectedly around the…”
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    Journal Article
  12. 12

    IMU calibration and validation in a factory, remote on land and at sea by Jorgensen, Martin J., Paccagnan, Dario, Poulsen, Niels K., Larsen, Mikael B.

    “…This paper treats the IMU calibration and validation problem in three settings: Factory production line with the aid of a precision multi-axis turntable,…”
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    Conference Proceeding
  13. 13

    Model based active power control of a wind turbine by Mirzaei, Mahmood, Soltani, Mohsen, Poulsen, Niels K., Niemann, Hans H.

    Published in 2014 American Control Conference (01-06-2014)
    “…In recent decades there has been increasing interest in green energies, of which wind energy is one of the most important. Wind turbines are the most common…”
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    Conference Proceeding
  14. 14

    Model predictive control of wind turbines using uncertain LIDAR measurements by Mirzaei, Mahmood, Soltani, Mohsen, Poulsen, Niels K., Niemann, Hans H.

    Published in 2013 American Control Conference (01-06-2013)
    “…The problem of Model predictive control (MPC) of wind turbines using uncertain LIDAR (LIght Detection And Ranging) measurements is considered. A nonlinear…”
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    Conference Proceeding
  15. 15

    Thermal storage power balancing with model predictive control by Halvgaard, Rasmus, Poulsen, Niels K., Madsen, Henrik, Jorgensen, John B.

    Published in 2013 European Control Conference (ECC) (01-07-2013)
    “…The method described in this paper balances power production and consumption with a large number of thermal loads. Linear controllers are used for the loads to…”
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    Conference Proceeding
  16. 16

    Electric vehicle charge planning using Economic Model Predictive Control by Halvgaard, Rasmus, Poulsen, Niels K., Madsen, Henrik, Jorgensen, John B., Marra, Francesco, Bondy, Daniel Esteban Morales

    “…Economic Model Predictive Control (MPC) is very well suited for controlling smart energy systems since electricity price and demand forecasts are easily…”
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    Conference Proceeding
  17. 17

    Model Predictive Control of Trailing Edge Flaps on a wind turbine blade by Castaignet, Damien, Poulsen, Niels K., Buhl, Thomas, Wedel-Heinen, Jens Jakob

    “…Trailing Edge Flaps on wind turbine blades have been studied in order to achieve fatigue load reduction on the turbine components. We show in this paper how…”
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    Conference Proceeding
  18. 18

    Adaptive passivity based individual pitch control for wind turbines in the full load region by Sorensen, Kim L., Galeazzi, Roberto, Odgaard, Peter F., Niemann, Henrik, Poulsen, Niels K.

    Published in 2014 American Control Conference (01-06-2014)
    “…This paper tackles the problem of power regulation for wind turbines operating in the top region by an adaptive passivity based individual pitch control…”
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    Conference Proceeding
  19. 19

    Active load reduction by means of trailing edge flaps on a wind turbine blade by Couchman, Ian, Castaignet, Damien, Poulsen, Niels K., Buhl, Thomas, Wedel-Heinen, Jens Jakob, Olesen, Niels Anker

    Published in 2014 American Control Conference (01-06-2014)
    “…This paper presents the blade fatigue load reduction achieved with a trailing edge flap during a full scale test on a Vestas V27 wind turbine. A…”
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    Conference Proceeding
  20. 20

    Decentralized large-scale power balancing by Halvgaard, Rasmus, Jorgensen, John B., Poulsen, Niels K., Madsen, Henrik, Vandenberghe, Lieven

    Published in IEEE PES ISGT Europe 2013 (01-10-2013)
    “…A power balancing strategy based on Douglas-Rachford splitting is proposed as a control method for large-scale integration of flexible consumers in a Smart…”
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    Conference Proceeding