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09/07/2023
A computationally lightweight safe learning algorithm
Safety is an essential asset when learning control policies for physical...
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08/23/2023
Neural oscillators for magnetic hysteresis modeling
Hysteresis is a ubiquitous phenomenon in science and engineering; its mo...
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02/10/2023
Discovering Sparse Hysteresis Models for Piezoelectric Materials: A Data-Driven Study and Perspectives into Modelling Magnetic Hysteresis
This article presents an approach for modelling hysteresis in piezoelect...
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05/23/2022
Decoupling multivariate functions using a nonparametric filtered tensor decomposition
Multivariate functions emerge naturally in a wide variety of data-driven...
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09/04/2019
Deep Convolutional Networks in System Identification
Recent developments within deep learning are relevant for nonlinear syst...
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06/20/2019
The trade-off between long-term memory and smoothness for recurrent networks
Training recurrent neural networks (RNNs) that possess long-term memory ...
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05/02/2019
