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Deep Learning Explicit Differentiable Predictive Control Laws for
  Buildings

Deep Learning Explicit Differentiable Predictive Control Laws for Buildings

25 July 2021
Ján Drgoňa
Aaron Tuor
Soumya Vasisht
Elliott Skomski
D. Vrabie
    PINN
    AI4CE
ArXivPDFHTML

Papers citing "Deep Learning Explicit Differentiable Predictive Control Laws for Buildings"

11 / 11 papers shown
Title
Differentiable Predictive Control for Robotics: A Data-Driven Predictive
  Safety Filter Approach
Differentiable Predictive Control for Robotics: A Data-Driven Predictive Safety Filter Approach
John Viljoen
Wenceslao Shaw-Cortez
Ján Drgoňa
Sebastian East
Masayoshi Tomizuka
D. Vrabie
29
2
0
20 Sep 2024
Differentiable Predictive Control for Large-Scale Urban Road Networks
Differentiable Predictive Control for Large-Scale Urban Road Networks
Renukanandan Tumu
Wenceslao Shaw-Cortez
Ján Drgoňa
D. Vrabie
Sonja Glavaski
AI4CE
33
0
0
14 Jun 2024
PlanNetX: Learning an Efficient Neural Network Planner from MPC for
  Longitudinal Control
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
Stable Linear Subspace Identification: A Machine Learning Approach
Stable Linear Subspace Identification: A Machine Learning Approach
L. D. Natale
M. Zakwan
B. Svetozarevic
P. Heer
Giancarlo Ferrari-Trecate
Colin N. Jones
23
5
0
06 Nov 2023
Physics-Informed Machine Learning for Modeling and Control of Dynamical
  Systems
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems
Truong X. Nghiem
Ján Drgoňa
Colin N. Jones
Zoltán Nagy
Roland Schwan
...
J. Paulson
Andrea Carron
M. Zeilinger
Wenceslao Shaw-Cortez
D. Vrabie
PINN
AI4CE
37
30
0
24 Jun 2023
Imitation Learning from Nonlinear MPC via the Exact Q-Loss and its
  Gauss-Newton Approximation
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
32
4
0
03 Apr 2023
Domain-aware Control-oriented Neural Models for Autonomous Underwater
  Vehicles
Domain-aware Control-oriented Neural Models for Autonomous Underwater Vehicles
Wenceslao Shaw-Cortez
Soumya Vasisht
Aaron Tuor
Ján Drgoňa
D. Vrabie
AI4CE
15
0
0
15 Aug 2022
Differentiable Predictive Control with Safety Guarantees: A Control
  Barrier Function Approach
Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach
Wenceslao Shaw-Cortez
Ján Drgoňa
Aaron Tuor
M. Halappanavar
D. Vrabie
20
7
0
03 Aug 2022
Neural Lyapunov Differentiable Predictive Control
Neural Lyapunov Differentiable Predictive Control
Sayak Mukherjee
Ján Drgoňa
Aaron Tuor
M. Halappanavar
D. Vrabie
42
13
0
22 May 2022
Neuro-physical dynamic load modeling using differentiable parametric
  optimization
Neuro-physical dynamic load modeling using differentiable parametric optimization
S. Abhyankar
Ján Drgoňa
Andrew August
Elliott Skomski
Aaron Tuor
19
2
0
20 Mar 2022
Learning Stochastic Parametric Differentiable Predictive Control
  Policies
Learning Stochastic Parametric Differentiable Predictive Control Policies
Ján Drgoňa
Sayak Mukherjee
Aaron Tuor
M. Halappanavar
D. Vrabie
16
9
0
02 Mar 2022
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