DB
Dennis Bruijnen
Authored
4 records found
Direct Learning for Parameter-Varying Feedforward Control
A Neural-Network Approach
The performance of a feedforward controller is primarily determined by the extent to which it can capture the relevant dynamics of a system. The aim of this paper is to develop an input-output linear parameter-varying (LPV) feedforward parameterization and a corresponding data-dr
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Unifying Model-Based and Neural Network Feedforward
Physics-Guided Neural Networks with Linear Autoregressive Dynamics
Unknown nonlinear dynamics often limit the tracking performance of feedforward control. The aim of this paper is to develop a feedforward control framework that can compensate these unknown nonlinear dynamics using universal function approximators. The feedforward controller is p
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Physics-Guided Neural Networks for Feedforward Control
An Orthogonal Projection-Based Approach
Unknown nonlinear dynamics can limit the performance of model-based feedforward control. The aim of this paper is to develop a feedforward control framework for systems with unknown, typically nonlinear, dynamics. To address the unknown dynamics, a physics-based feedforward model
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Learning for Precision Motion of an Interventional X-ray System
Add-on Physics-Guided Neural Network Feedforward Control
Tracking performance of physical-model-based feedforward control for interventional X-ray systems is limited by hard-to-model parasitic nonlinear dynamics, such as cable forces and nonlinear friction. In this paper, these nonlinear dynamics are compensated using a physics-guided
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Contributed
1 records found
Portable Oxygen Concentrators (POCs) are devices that produce oxygen-enriched air, by selectively filtering nitrogen out of ambient air with a cyclic process called Pressure Swing Adsorption (PSA). The current control method is to adjust the timings of the process by means of loo
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