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Model Predictive Control (MPC) has become a popular framework in embedded control for high-performance autonomous systems.
“Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic”
Mikael Henaff, Alfredo Canziani and Yann LeCun · 1901
Earlier work this paper cites.
“acados: a modular open-source framework for fast embedded optimal control”
Robin Verschueren et al · 1910
Earlier work this paper cites.
“A Multiple Shooting Algorithm for Direct Solution of Optimal Control Problems”
H.G. Bock and K.J. Plitt · 1984
Earlier work this paper cites.
“Real-time optimization and nonlinear model predictive control of processes governed by differential-algebraic equations”
Moritz Diehl et al · 2002
Earlier work this paper cites.
“On Training and Evaluation of Neural Network Approaches for Model Predictive Control”
Rebecka Winqvist, Arun Venkitaraman and Bo Wahlberg · 2005
Earlier work this paper cites.
“Deep learning helicopter dynamics models”
Ali Punjani and Pieter Abbeel · 2015
Earlier work this paper cites.
“DeepMPC: Learning Deep Latent Features for Model Predictive Control”
Ian Lenz, Ross Knepper and Ashutosh Saxena · 2015
Earlier work this paper cites.
“Learning quadrotor dynamics using neural network for flight control”
Somil Bansal et al · 2016
Earlier work this paper cites.
“TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems”, 2016
Martín Abadi et al · 2016
Earlier work this paper cites.
“Information theoretic MPC for model-based reinforcement learning”
Grady Williams et al · 2017
Earlier work this paper cites.
“Differential flatness of quadrotor dynamics subject to rotor drag for accurate tracking of high-speed trajectories”
Matthias Faessler, Antonio Franchi and Davide Scaramuzza · 2017
Earlier work this paper cites.
“Model Predictive Control for Trajectory Tracking of Unmanned Aerial Vehicles Using Robot Operating System”
Mina Kamel, Thomas Stastny, Kostas Alexis and Roland Siegwart · 2017
Earlier work this paper cites.
“Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models”
Kurtland Chua, Roberto Calandra, Rowan McAllister and Sergey Levine · 2018
Cited alongside, same era.
“PAMPC: Perception-Aware Model Predictive Control for Quadrotors”
Davide Falanga, Philipp Foehn, Peng Lu and Davide Scaramuzza · 2018
Cited alongside, same era.
“Learning-Based Model Predictive Control for Autonomous Racing”
Juraj Kabzan, Lukas Hewing, Alexander Liniger and Melanie. Zeilinger · 2019
Cited alongside, same era.
“Neural Lander: Stable Drone Landing Control using Learned Dynamics”
Guanya Shi et al · 2019
Cited alongside, same era.
“Low-Level Control of a Quadrotor With Deep Model-Based Reinforcement Learning”
Nathan. Lambert et al · 2019
Cited alongside, same era.
“Neural network vehicle models for high-performance automated driving”
“Deep Drone Acrobatics”
Elia Kaufmann et al · 2020
Later among the works it cites.
“Fourier Neural Operator for Parametric Partial Differential Equations”
Zongyi Li et al · 2020
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“Learning dexterous in-hand manipulation”
OpenAI: Andrychowicz et al · 2020
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“A deep learning approach for automated diagnosis and multi-class classification of Alzheimer’s disease stages using resting-state fMRI and residual neural networks”
Farheen Ramzan et al · 2020
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“NeuroBEM: Hybrid Aerodynamic Quadrotor Model”
Leonard Bauersfeld et al · 2021
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Nathan. Spielberg et al · 2019
Cited alongside, same era.
“Learning agile and dynamic motor skills for legged robots”
Jemin Hwangbo et al · 2019
Cited alongside, same era.
“PyTorch: An Imperative Style, High-Performance Deep Learning Library”
Adam Paszke et al · 2019
Cited alongside, same era.
“CasADi: a software framework for nonlinear optimization and optimal control”
Joel.. Andersson et al · 2019
Cited alongside, same era.
“A Neural Network Architecture to Learn Explicit MPC Controllers from Data”
E.T. Maddalena, C.G. da S., G. Waltrich and C.N. Jones · 2020
Cited alongside, same era.
“Safe and Fast Tracking on a Robot Manipulator: Robust MPC and Neural Network Control”
Julian Nubert et al · 2020
Cited alongside, same era.
Guillem Torrente, Elia Kaufmann, Philipp Foehn and Davide Scaramuzza · 2021
Later among the works it cites.
“Neural Network Model Predictive Motion Control Applied to Automated Driving With Unknown Friction”
Nathan. Spielberg, Matthew Brown and J. Gerdes · 2021
Later among the works it cites.
“Model Predictive Control Using Artificial Neural Network for Power Converters”
Daming Wang et al · 2021
Later among the works it cites.
“Physics-Inspired Temporal Learning of Quadrotor Dynamics for Accurate Model Predictive Trajectory Tracking”
Alessandro Saviolo, Guanrui Li and Giuseppe Loianno · 2022
Closest in time.
“KNODE-MPC: A Knowledge-Based Data-Driven Predictive Control Framework for Aerial Robots”
Kong Chee, Tom. Jiahao and M. Hsieh · 2022
Closest in time.
“Agilicious: Open-source and open-hardware agile quadrotor for vision-based flight”
Philipp Foehn et al · 2022
Closest in time.