Efficient representation and approximation of model predictive control laws via deep learning
We show that artificial neural networks with rectifier units as activation functions can exactly
represent the piecewise affine function that results from the formulation of model predictive …
represent the piecewise affine function that results from the formulation of model predictive …
Efficient representation and approximation of model predictive control laws via deep learning
B Karg, S Lucia - arXiv preprint arXiv:1806.10644, 2018 - arxiv.org
We show that artificial neural networks with rectifier units as activation functions can exactly
represent the piecewise affine function that results from the formulation of model predictive …
represent the piecewise affine function that results from the formulation of model predictive …
Efficient Representation and Approximation of Model Predictive Control Laws via Deep Learning
B Karg, S Lucia - IEEE transactions on cybernetics, 2020 - pubmed.ncbi.nlm.nih.gov
We show that artificial neural networks with rectifier units as activation functions can exactly
represent the piecewise affine function that results from the formulation of model predictive …
represent the piecewise affine function that results from the formulation of model predictive …
[PDF][PDF] Efficient representation and approximation of model predictive control laws via deep learning
B Karga, S Luciaa - researchgate.net
We show that artificial neural networks with rectifier units as activation functions can exactly
represent the piecewise affine function that results from the formulation of model predictive …
represent the piecewise affine function that results from the formulation of model predictive …
Efficient representation and approximation of model predictive control laws via deep learning
B Karg, S Lucia - arXiv e-prints, 2018 - ui.adsabs.harvard.edu
We show that artificial neural networks with rectifier units as activation functions can exactly
represent the piecewise affine function that results from the formulation of model predictive …
represent the piecewise affine function that results from the formulation of model predictive …
Efficient Representation and Approximation of Model Predictive Control Laws via Deep Learning.
B Karg, S Lucia - IEEE Transactions on Cybernetics, 2020 - europepmc.org
We show that artificial neural networks with rectifier units as activation functions can exactly
represent the piecewise affine function that results from the formulation of model predictive …
represent the piecewise affine function that results from the formulation of model predictive …