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Dual regularized policy updating and shiftpoint detection for automated deployment of reinforcement learning controllers on industrial mechatronic systems
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Prediction of follower jumps in cam-follower mechanisms : the benefit of using physics-inspired features in recurrent neural networks
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- Journal Article
- A1
- open access
Physics-based neural network models for prediction of cam-follower dynamics beyond nominal operations
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Neural network augmented physics models for systems with partially unknown dynamics : application to slider-crank mechanism
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Hybrid physics-based neural network models for predicting nonlinear dynamics in mechatronic applications
(2021) -
Inverse parametric uncertainty identification using polynomial chaos and high-order moment matching benchmarked on a wet friction clutch
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Hybrid derivative functions for identification of unknown loads and physical parameters with application on slider-crank mechanism
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- Journal Article
- A2
- open access
Parametric uncertainty quantification using polynomial chaos expansions applied to a wet friction clutch model