His main research concerns Control theory, Model predictive control, System identification, Control theory and Control engineering. He performs multidisciplinary study in Control theory and Active fault in his work. His studies in Model predictive control integrate themes in fields like Electricity, Artificial neural network, Smart grid, Integrator and Adaptive control.
Niels Kjølstad Poulsen has included themes like Control, Vibration fatigue, System model and Nonlinear system in his Control theory study. His Control research is multidisciplinary, incorporating elements of Time delay neural network, Recurrent neural network, Stochastic neural network and Physical neural network. He interconnects Covariance intersection and State in the investigation of issues within Mathematical optimization.
Niels Kjølstad Poulsen mainly focuses on Control theory, Model predictive control, Control engineering, Control theory and Wind power. The Control theory study combines topics in areas such as Turbine and Fault detection and isolation. His Model predictive control research integrates issues from Artificial pancreas, Optimization problem, Mathematical optimization and Computation.
The study incorporates disciplines such as Control system and Type 1 diabetes in addition to Control engineering. Control theory connects with themes related to Control in his study. His research investigates the connection with Wind power and areas like Marine engineering which intersect with concerns in Offshore wind power.
His primary scientific interests are in Control theory, Model predictive control, Kalman filter, Control engineering and Control theory. He studies Control theory, focusing on Transfer function in particular. His Model predictive control research also works with subjects such as
His biological study spans a wide range of topics, including Algorithm, Adaptive filter, Noise and Noise. His Control engineering research includes themes of Wind power and Turbine. His work in Control theory addresses issues such as Nonlinear system, which are connected to fields such as Extended Kalman filter.
His primary areas of investigation include Control theory, Model predictive control, Type 1 diabetes, Artificial pancreas and Kalman filter. Niels Kjølstad Poulsen has researched Control theory in several fields, including Fault and Fault detection and isolation. His Model predictive control study incorporates themes from Nonlinear model, Control engineering, Turbine, Function and Blood sugar regulation.
His study in Type 1 diabetes is interdisciplinary in nature, drawing from both Meal, Postprandial, Insulin and Bolus. His Kalman filter research incorporates elements of PID controller and Linear model predictive control. While the research belongs to areas of Control theory, Niels Kjølstad Poulsen spends his time largely on the problem of State-space representation, intersecting his research to questions surrounding Nonlinear system, Operating point, Energy consumption, Glucose Measurement and Efficient energy use.
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Neural Networks for Modelling and Control of Dynamic Systems: A Practitioner’s Handbook
Magnus Nrgaard;O. E. Ravn;N. K. Poulsen;L. K. Hansen.
Neural Networks for Modelling and Control of Dynamic Systems
M. Nørgaard;O. Ravn;N. K. Poulsen;L. K. Hansen.
New developments in state estimation for nonlinear systems
Magnus NøRgaard;Niels K. Poulsen;Ole Ravn.
Economic Model Predictive Control for building climate control in a Smart Grid
Rasmus Halvgaard;Niels Kjolstad Poulsen;Henrik Madsen;John Bagterp Jorgensen.
ieee pes innovative smart grid technologies conference (2012)
Incorporation of time delayed measurements in a discrete-time Kalman filter
T.D. Larsen;N.A. Andersen;O. Ravn;N.K. Poulsen.
conference on decision and control (1998)
Advances in Derivative-Free State Estimation for Nonlinear Systems
Magnus Nørgaard;Niels Kjølstad Poulsen;Ole Ravn.
Modelling and transient stability of large wind farms
Vladislav Akhmatov;Hans Knudsen;Arne Hejde Nielsen;Jørgen Kaas Pedersen.
International Journal of Electrical Power & Energy Systems (2003)
A Generalized Autocovariance Least-Squares Method for Kalman Filter Tuning
Bernt Magnus Åkesson;John Bagterp Jørgensen;Niels Kjølstad Poulsen;Sten Bay Jørgensen.
Journal of Process Control (2008)
Recursive forgetting algorithms
Jens Parkum;Niels Kjølstad Poulsen;Jan Holst.
International Journal of Control (1992)
Distributed Model Predictive Control for Smart Energy Systems
Rasmus Halvgaard;Lieven Vandenberghe;Niels Kjolstad Poulsen;Henrik Madsen.
IEEE Transactions on Smart Grid (2016)
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