What is he best known for?
The fields of study he is best known for:
- Statistics
- Control theory
- Electrical engineering
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.
His most cited work include:
- Neural Networks for Modelling and Control of Dynamic Systems (819 citations)
- New developments in state estimation for nonlinear systems (801 citations)
- Neural Networks for Modelling and Control of Dynamic Systems: A Practitioner’s Handbook (309 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Control theory (49.06%)
- Model predictive control (26.42%)
- Control engineering (19.18%)
What were the highlights of his more recent work (between 2013-2021)?
- Control theory (49.06%)
- Model predictive control (26.42%)
- Kalman filter (10.69%)
In recent papers he was focusing on the following fields of study:
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
- Mathematical optimization which is related to area like Smart grid,
- Computation which connect with Covariance.
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.
Between 2013 and 2021, his most popular works were:
- Full‐scale test of trailing edge flaps on a Vestas V27 wind turbine: active load reduction and system identification (69 citations)
- Distributed Model Predictive Control for Smart Energy Systems (60 citations)
- Adaptive control in an artificial pancreas for people with type 1 diabetes (44 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Control theory
- Electrical engineering
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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