Learning an Approximate Model Predictive Controller with Guarantees

Learning an Approximate Model Predictive Controller with Guarantees

11 June 2018

Michael Hertneck

Johannes Köhler

Sebastian Trimpe

Frank Allgöwer

Papers citing "Learning an Approximate Model Predictive Controller with Guarantees"

14 / 14 papers shown

Title
Receding Hamiltonian-Informed Optimal Neural Control and State Estimation for Closed-Loop Dynamical Systems Josue N. Rivera Dengfeng Sun 28 0 0 02 Nov 2024
Self-Supervised Learning of Iterative Solvers for Constrained Optimization Lukas Luken Sergio Lucia 25 0 0 12 Sep 2024
PlanNetX: Learning an Efficient Neural Network Planner from MPC for Longitudinal Control Jasper Hoffmann Diego Fernandez Clausen Julien Brosseit Julian Bernhard Klemens Esterle M. Werling Michael Karg Joschka Boedecker 25 1 0 29 Apr 2024
Imitation Learning from Nonlinear MPC via the Exact Q-Loss and its Gauss-Newton Approximation Andrea Ghezzi Jasper Hoffmann Jonathan Frey Joschka Boedecker Moritz Diehl 22 4 0 03 Apr 2023
An Improved Data Augmentation Scheme for Model Predictive Control Policy Approximation D. Krishnamoorthy 16 4 0 09 Mar 2023
Model Predictive Control via On-Policy Imitation Learning Kwangjun Ahn Zakaria Mhammedi Horia Mania Zhang-Wei Hong Ali Jadbabaie 11 8 0 17 Oct 2022
Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach Wenceslao Shaw-Cortez Ján Drgoňa Aaron Tuor M. Halappanavar D. Vrabie 13 7 0 03 Aug 2022
Stability Verification of Neural Network Controllers using Mixed-Integer Programming Roland Schwan Colin N. Jones Daniel Kuhn 21 24 0 27 Jun 2022
Neural Lyapunov Differentiable Predictive Control Sayak Mukherjee Ján Drgoňa Aaron Tuor M. Halappanavar D. Vrabie 32 13 0 22 May 2022
Physics-informed Neural Networks-based Model Predictive Control for Multi-link Manipulators Jonas Nicodemus Jonas Kneifl Jörg Fehr B. Unger PINN AI4CE 13 52 0 22 Sep 2021
Neural Predictive Control for the Optimization of Smart Grid Flexibility Schedules S. D. Jongh Sina Steinle Anna Hlawatsch F. Mueller M. Suriyah T. Leibfried 18 1 0 19 Aug 2021
GP3: A Sampling-based Analysis Framework for Gaussian Processes Armin Lederer M. Kessler Sandra Hirche GP 14 2 0 14 Jun 2020
In Proximity of ReLU DNN, PWA Function, and Explicit MPC Saman Fahandezh-Saadi M. Tomizuka 6 4 0 09 Jun 2020
Large Scale Model Predictive Control with Neural Networks and Primal Active Sets Steven W. Chen Tianyu Wang Nikolay A. Atanasov Vijay R. Kumar M. Morari 15 86 0 23 Oct 2019