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DiffLoop: Tuning PID controllers by differentiating through the feedback
  loop

DiffLoop: Tuning PID controllers by differentiating through the feedback loop

19 June 2021
Athindran Ramesh Kumar
Peter J. Ramadge
ArXivPDFHTML

Papers citing "DiffLoop: Tuning PID controllers by differentiating through the feedback loop"

3 / 3 papers shown
Title
DiffTune-MPC: Closed-Loop Learning for Model Predictive Control
DiffTune-MPC: Closed-Loop Learning for Model Predictive Control
Ran Tao
Sheng Cheng
Xiaofeng Wang
Shenlong Wang
N. Hovakimyan
35
5
0
18 Dec 2023
Meta-Reinforcement Learning for the Tuning of PI Controllers: An Offline
  Approach
Meta-Reinforcement Learning for the Tuning of PI Controllers: An Offline Approach
Daniel G. McClement
Nathan P. Lawrence
Johan U. Backstrom
Philip D. Loewen
M. Forbes
R. Bhushan Gopaluni
OffRL
27
22
0
17 Mar 2022
A Compositional Object-Based Approach to Learning Physical Dynamics
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael Chang
T. Ullman
Antonio Torralba
J. Tenenbaum
AI4CE
OCL
253
439
0
01 Dec 2016
1