Learning an Approximate Model Predictive Controller with Guarantees

11 June 2018

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

20 / 20 papers shown

Title
ACORN: Adaptive Contrastive Optimization for Safe and Robust Fine-Grained Robotic Manipulation Zhongquan Zhou Shuhao Li Zixian Yue 33 0 0 10 May 2025
Receding Hamiltonian-Informed Optimal Neural Control and State Estimation for Closed-Loop Dynamical Systems Josue N. Rivera Dengfeng Sun 38 0 0 02 Nov 2024
Self-Supervised Learning of Iterative Solvers for Constrained Optimization Lukas Luken Sergio Lucia 36 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 39 1 0 29 Apr 2024
Approximate non-linear model predictive control with safety-augmented neural networks Henrik Hose Johannes Köhler Melanie Zeilinger Sebastian Trimpe 25 7 0 19 Apr 2023
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 38 4 0 03 Apr 2023
An Improved Data Augmentation Scheme for Model Predictive Control Policy Approximation D. Krishnamoorthy 21 4 0 09 Mar 2023
Deep Model Predictive Control Prabhat Kumar Mishra M. V. Gasparino A. E. B. Velasquez Girish Chowdhary 16 0 0 27 Feb 2023
Policy Learning for Nonlinear Model Predictive Control with Application to USVs Rizhong Wang Huiping Li Bin Liang Yang Shi Deming Xu 22 20 0 18 Nov 2022
Model Predictive Control via On-Policy Imitation Learning Kwangjun Ahn Zakaria Mhammedi Horia Mania Zhang-Wei Hong Ali Jadbabaie 24 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 23 7 0 03 Aug 2022
Stability Verification of Neural Network Controllers using Mixed-Integer Programming Roland Schwan Colin N. Jones Daniel Kuhn 35 24 0 27 Jun 2022
Neural Lyapunov Differentiable Predictive Control Sayak Mukherjee Ján Drgoňa Aaron Tuor M. Halappanavar D. Vrabie 42 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 29 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 20 1 0 19 Aug 2021
GP3: A Sampling-based Analysis Framework for Gaussian Processes Armin Lederer M. Kessler Sandra Hirche GP 16 2 0 14 Jun 2020
In Proximity of ReLU DNN, PWA Function, and Explicit MPC Saman Fahandezh-Saadi Masayoshi Tomizuka 18 4 0 09 Jun 2020
Large Scale Model Predictive Control with Neural Networks and Primal Active Sets Steven W. Chen Tianyu Wang Nikolay Atanasov Vijay Kumar M. Morari 17 88 0 23 Oct 2019
Safe and Near-Optimal Policy Learning for Model Predictive Control using Primal-Dual Neural Networks Xiaojing Zhang Monimoy Bujarbaruah Francesco Borrelli 19 62 0 19 Jun 2019
A predictive safety filter for learning-based control of constrained nonlinear dynamical systems K. P. Wabersich Melanie Zeilinger AI4CE 26 155 0 13 Dec 2018