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Flexible development and evaluation of machine-learning-supported
  optimal control and estimation methods via HILO-MPC

Flexible development and evaluation of machine-learning-supported optimal control and estimation methods via HILO-MPC

25 March 2022
J. Pohlodek
B. Morabito
Christian Schlauch
P. Zometa
R. Findeisen
ArXivPDFHTML

Papers citing "Flexible development and evaluation of machine-learning-supported optimal control and estimation methods via HILO-MPC"

4 / 4 papers shown
Title
A nonlinear real time capable motion cueing algorithm based on deep reinforcement learning
A nonlinear real time capable motion cueing algorithm based on deep reinforcement learning
Hendrik Scheidel
Camilo Gonzalez
Houshyar Asadi
Tobias Bellmann
A. Seefried
Shady M. K. Mohamed
Saeid Nahavandi
45
0
0
13 Mar 2025
Learning for CasADi: Data-driven Models in Numerical Optimization
Learning for CasADi: Data-driven Models in Numerical Optimization
Tim Salzmann
Jon Arrizabalaga
Joel Andersson
Marco Pavone
Markus Ryll
AI4CE
11
16
0
10 Dec 2023
PyPose v0.6: The Imperative Programming Interface for Robotics
PyPose v0.6: The Imperative Programming Interface for Robotics
Zitong Zhan
Xiangfu Li
Qihang Li
Hao He
Abhinav Pandey
...
Sebastian A. Scherer
Da Huang
Yaoyu Hu
Junyi Geng
Chen Wang
PINN
AI4CE
34
8
0
22 Sep 2023
Learning optimal controllers: a dynamical motion primitive approach
Learning optimal controllers: a dynamical motion primitive approach
Hugo Tadashi M. Kussaba
Abdalla Swikir
Fan Wu
Anastasija Demerdjieva
Gitta Kutyniok
Sami Haddadin
22
1
0
10 Jun 2023
1