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Large Scale Model Predictive Control with Neural Networks and Primal Active Sets

23 October 2019

Papers citing "Large Scale Model Predictive Control with Neural Networks and Primal Active Sets"

42 / 42 papers shown

Title
Deep FlexQP: Accelerated Nonlinear Programming via Deep Unfolding Alex Oshin Rahul Vodeb Ghosh A. Saravanos Evangelos A. Theodorou 16 0 0 01 Dec 2025
Warm-starting active-set solvers using graph neural networks Ella J. Schmidtobreick Daniel Arnström Paul Hausner Jens Sjölund AI4CE 131 0 0 17 Nov 2025
Safety Meets Speed: Accelerated Neural MPC with Safety Guarantees and No RetrainingIEEE Robotics and Automation Letters (IEEE RA-L), 2025 Kaikai Wang Tianxun Li Liang Xu Qinglei Hu Keyou You 60 0 0 08 Sep 2025
Learning Robust Satellite Attitude Dynamics with Physics-Informed Normalising Flow Carlo Cena Mauro Martini Marcello Chiaberge PINN 111 0 0 11 Aug 2025
Diffusion Policies for Generative Modeling of Spacecraft Trajectories Julia Briden Breanna Johnson Richard Linares Abhishek Cauligi 206 6 0 03 Jan 2025
CIKAN: Constraint Informed Kolmogorov-Arnold Networks for Autonomous Spacecraft Rendezvous using Time Shift GovernorConference on Learning for Dynamics & Control (L4DC), 2024 Taehyeun Kim Anouck Girard Ilya Kolmanovsky 289 5 0 04 Dec 2024
Learning Multiple Initial Solutions to Optimization Problems Elad Sharony Heng Yang Tong Che Marco Pavone Shie Mannor Peter Karkus 339 3 0 04 Nov 2024
Transformer-based Model Predictive Control: Trajectory Optimization via Sequence ModelingIEEE Robotics and Automation Letters (RA-L), 2024 Davide Celestini Daniele Gammelli T. Guffanti Simone DÁmico Elisa Capello Marco Pavone 209 25 0 31 Oct 2024
TransformerMPC: Accelerating Model Predictive Control via TransformersIEEE International Conference on Robotics and Automation (ICRA), 2024 Vrushabh Zinage Ahmed Khalil E. Bakolas 134 10 0 14 Sep 2024
Self-Supervised Learning of Iterative Solvers for Constrained Optimization Lukas Luken Sergio Lucia 222 2 0 12 Sep 2024
AC4MPC: Actor-Critic Reinforcement Learning for Nonlinear Model Predictive Control Rudolf Reiter Andrea Ghezzi Katrin Baumgärtner Jasper Hoffmann Robert D. McAllister Moritz Diehl 160 11 0 06 Jun 2024
Model Predictive Control and Reinforcement Learning: A Unified Framework Based on Dynamic Programming Dimitri Bertsekas 285 15 0 02 Jun 2024
Mapping back and forth between model predictive control and neural networks Ross Drummond P. R. B. Monasterios Giorgio Valmorbida 117 1 0 18 Apr 2024
Parameter-Adaptive Approximate MPC: Tuning Neural-Network Controllers without Retraining Henrik Hose Alexander Gräfe Sebastian Trimpe 126 10 0 08 Apr 2024
On Building Myopic MPC Policies using Supervised Learning C. A. Orrico Bokan Yang Dinesh Krishnamoorthy OffRL 61 2 0 23 Jan 2024
Constraint-Informed Learning for Warm Starting Trajectory Optimization Julia Briden Changrak Choi Kyongsik Yun Richard Linares Abhishek Cauligi 209 6 0 21 Dec 2023
Automatic nonlinear MPC approximation with closed-loop guaranteesIEEE Transactions on Automatic Control (TAC), 2023 Abdullah Tokmak Christian Fiedler Melanie Zeilinger Sebastian Trimpe Johannes Köhler 189 11 0 15 Dec 2023
Learning to Warm-Start Fixed-Point Optimization AlgorithmsJournal of machine learning research (JMLR), 2023 Rajiv Sambharya Georgina Hall Brandon Amos Bartolomeo Stellato 179 31 0 14 Sep 2023
Amortized Global Search for Efficient Preliminary Trajectory Design with Deep Generative Models Anjian Li Amlan Sinha Ryne T. Beeson 171 9 0 07 Aug 2023
Efficient Deep Learning of Robust Policies from MPC using Imitation and Tube-Guided Data AugmentationIEEE Transactions on robotics (TRO), 2023 Andrea Tagliabue Jonathan P. How 323 16 0 01 Jun 2023
Approximate non-linear model predictive control with safety-augmented neural networksIEEE Transactions on Control Systems Technology (IEEE TCST), 2023 Henrik Hose Johannes Köhler Melanie Zeilinger Sebastian Trimpe 160 11 0 19 Apr 2023
An Improved Data Augmentation Scheme for Model Predictive Control Policy ApproximationIEEE Control Systems Letters (L-CSS), 2023 D. Krishnamoorthy 205 5 0 09 Mar 2023
Policy Learning for Nonlinear Model Predictive Control with Application to USVs Rizhong Wang Huiping Li Bin Liang Yang Shi Deming Xu 235 38 0 18 Nov 2022
ReachLipBnB: A branch-and-bound method for reachability analysis of neural autonomous systems using Lipschitz boundsIEEE International Conference on Robotics and Automation (ICRA), 2022 Taha Entesari Sina Sharifi Mahyar Fazlyab 176 9 0 01 Nov 2022
Verified Compositions of Neural Network Controllers for Temporal Logic Control ObjectivesIEEE Conference on Decision and Control (CDC), 2022 Jun Wang Samarth Kalluraya Y. Kantaros 174 9 0 13 Sep 2022
Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function ApproachIEEE Conference on Decision and Control (CDC), 2022 Wenceslao Shaw-Cortez Ján Drgoňa Aaron Tuor M. Halappanavar D. Vrabie 195 8 0 03 Aug 2022
Neural Lyapunov Differentiable Predictive ControlIEEE Conference on Decision and Control (CDC), 2022 Sayak Mukherjee Ján Drgoňa Aaron Tuor M. Halappanavar D. Vrabie 244 17 0 22 May 2022
Tutorial on amortized optimization Brandon Amos OffRL 674 71 0 01 Feb 2022
CoCo: Online Mixed-Integer Control via Supervised LearningIEEE Robotics and Automation Letters (RA-L), 2021 Abhishek Cauligi Preston Culbertson Edward Schmerling Mac Schwager Bartolomeo Stellato Marco Pavone 171 48 0 16 Jul 2021
On Training and Evaluation of Neural Network Approaches for Model Predictive Control Rebecka Winqvist Arun Venkitaraman B. Wahlberg 78 8 0 08 May 2020
Learning Constrained Adaptive Differentiable Predictive Control Policies With Guarantees Ján Drgoňa Aaron Tuor D. Vrabie 544 20 0 23 Apr 2020
Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and ControlIEEE Conference on Decision and Control (CDC), 2020 Abhishek Cauligi Preston Culbertson Bartolomeo Stellato Dimitris Bertsimas Mac Schwager Marco Pavone 153 37 0 07 Apr 2020
Safe and Near-Optimal Policy Learning for Model Predictive Control using Primal-Dual Neural NetworksAmerican Control Conference (ACC), 2019 Xiaojing Zhang Monimoy Bujarbaruah Francesco Borrelli 112 67 0 19 Jun 2019
Deep ReLU Networks Have Surprisingly Few Activation PatternsNeural Information Processing Systems (NeurIPS), 2019 Boris Hanin David Rolnick 378 247 0 03 Jun 2019
Learning an Approximate Model Predictive Controller with Guarantees Michael Hertneck Johannes Köhler Sebastian Trimpe Frank Allgöwer 120 266 0 11 Jun 2018
Generalization in Machine Learning via Analytical Learning Theory Kenji Kawaguchi Yoshua Bengio Vikas Verma Leslie Pack Kaelbling 106 10 0 21 Feb 2018
Search-based Motion Planning for Quadrotors using Linear Quadratic Minimum Time Control Sikang Liu Nikolay Atanasov K. Mohta Vijay Kumar 105 210 0 15 Sep 2017
Understanding Deep Neural Networks with Rectified Linear Units R. Arora A. Basu Poorya Mianjy Anirbit Mukherjee PINN 583 696 0 04 Nov 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 925 18,978 0 27 May 2016
Adam: A Method for Stochastic OptimizationInternational Conference on Learning Representations (ICLR), 2014 Diederik P. Kingma Jimmy Ba ODL 4.6K 160,594 0 22 Dec 2014
On the Number of Linear Regions of Deep Neural NetworksNeural Information Processing Systems (NeurIPS), 2014 Guido Montúfar Razvan Pascanu Dong Wang Yoshua Bengio 414 1,325 0 08 Feb 2014
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 884 3,582 0 02 Nov 2010