Jan Drgona

Publication Activity (10 Years)

Years Active: 2013-2021
Publications (10 Years): 15

Top Topics

Predictive Control

Nonlinear Systems

Top Venues

Comput. Chem. Eng.

Publications

Elliott Skomski, Jan Drgona, Aaron Tuor
Automating Discovery of Physics-Informed Neural State Space Models via Learning and Evolution. L4DC (2021)
Elliott Skomski, Soumya Vasisht, Colby Wight, Aaron Tuor, Jan Drgona, Draguna L. Vrabie
Constrained Block Nonlinear Neural Dynamical Models. ACC (2021)
Elliott Skomski, Soumya Vasisht, Colby Wight, Aaron Tuor, Jan Drgona, Draguna L. Vrabie
Constrained Block Nonlinear Neural Dynamical Models. CoRR (2021)
Jan Drgona, Aaron Tuor, Soumya Vasisht, Elliott Skomski, Draguna L. Vrabie
Deep Learning Explicit Differentiable Predictive Control Laws for Buildings. CoRR (2021)
Zoltán Nagy, June Young Park, Jan Drgona, Matias Quintana
The second ACM SIGEnergy workshop on reinforcement learning for energy management in buildings & cities (RLEM). BuildSys@SenSys (2021)
Jan Drgona, Karol Kis, Aaron Tuor, Draguna L. Vrabie, Martin Klauco
Differentiable Predictive Control: An MPC Alternative for Unknown Nonlinear Systems using Constrained Deep Learning. CoRR (2020)
Jan Drgona, Aaron Randall Tuor, Vikas Chandan, Draguna L. Vrabie
Physics-constrained Deep Learning of Multi-zone Building Thermal Dynamics. CoRR (2020)
Jan Drgona, Elliott Skomski, Soumya Vasisht, Aaron Tuor, Draguna L. Vrabie
Spectral Analysis and Stability of Deep Neural Dynamics. CoRR (2020)
Aaron Tuor, Jan Drgona, Draguna L. Vrabie
Constrained Neural Ordinary Differential Equations with Stability Guarantees. CoRR (2020)
Jan Drgona, Javier Arroyo, Iago Cupeiro Figueroa, David Blum, Krzysztof Arendt, Donghun Kim, Enric Perarnau Ollé, Juraj Oravec, Michael Wetter, Draguna L. Vrabie, Lieve Helsen
All you need to know about model predictive control for buildings. Annu. Rev. Control. 50 (2020)
Jan Drgona, Aaron Tuor, Draguna L. Vrabie
Constrained Physics-Informed Deep Learning for Stable System Identification and Control of Unknown Linear Systems. CoRR (2020)
Elliott Skomski, Jan Drgona, Aaron Tuor
Physics-Informed Neural State Space Models via Learning and Evolution. CoRR (2020)
Juraj Holaza, Martin Klauco, Jan Drgona, Juraj Oravec, Michal Kvasnica, Miroslav Fikar
MPC-based reference governor control of a continuous stirred-tank reactor. Comput. Chem. Eng. 108 (2018)
Jan Drgona, Martin Klauco, Filip Janecek, Michal Kvasnica
Optimal control of a laboratory binary distillation column via regionless explicit MPC. Comput. Chem. Eng. 96 (2017)
Jan Drgona, Filip Janecek, Martin Klauco, Michal Kvasnica
Regionless explicit MPC of a distillation column. ECC (2016)
Jan Drgona, Martin Klauco, Michal Kvasnica
MPC-based reference governors for thermostatically controlled residential buildings. CDC (2015)
Michal Kvasnica, Alexander Szucs, Miroslav Fikar, Jan Drgona
Explicit MPC of LPV systems in the controllable canonical form. ECC (2013)
Jan Drgona, Michal Kvasnica, Martin Klauco, Miroslav Fikar
Explicit stochastic MPC approach to building temperature control. CDC (2013)