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N. van de Wouw

Researcher at University of Minnesota

Publications -  23
Citations -  150

N. van de Wouw is an academic researcher from University of Minnesota. The author has contributed to research in topics: Nonlinear system & Model order reduction. The author has an hindex of 6, co-authored 23 publications receiving 100 citations. Previous affiliations of N. van de Wouw include Eindhoven University of Technology & University of Twente.

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Nonlinear output-feedback control of torsional vibrations in drilling systems

TL;DR: Case study results show that stick-slip oscillations can indeed be eliminated in realistic drilling scenarios in which industrial controllers fail to do so and key robustness aspects of the control system involving the robustness against uncertainties in the bit-rock interaction and changing operational conditions are evidenced.
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Reset integral control for improved settling of PID-based motion systems with friction

TL;DR: A reset integrator is applied to circumvent the depletion and refilling process of a linear integrator when the solution overshoots the setpoint, thereby significantly reducing the settling time.
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To stick or to slip : A reset PID control perspective on positioning systems with friction

TL;DR: The main steps of the Lyapunov-based proofs associated with the reset-enhanced PID controllers involve building semiglobal hybrid representations of the solutions in the form of hybrid automata whose logical variables enable transforming the aforementioned discontinuous function into smooth or at least Lipschitz ones.
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Nonlinear dynamic modeling and analysis of borehole propagation for directional drilling

TL;DR: A dynamic non-smooth borehole propagation model for planar directional drilling that can be used to support improved directional drilling system design and to form the basis for further work on automation techniques for the downhole robotic actuator to mitigate spiraled boreholes.
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Model order reduction for managed pressure drilling systems based on a model with local nonlinearities

TL;DR: This paper presents an approach for nonlinear Model Order Reduction (MOR) for MPD systems that preserves key system properties such as stability and provides a computable error bound.