Draguna L. Vrabie

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 49

Top Topics

Differential Equations

Dynamical Systems

Predictive Control

Top Venues

ACM Trans. Cyber Phys. Syst.

Publications

Ján Drgona, Aaron Tuor, Draguna L. Vrabie
Learning Constrained Parametric Differentiable Predictive Control Policies With Guarantees. IEEE Trans. Syst. Man Cybern. Syst. 54 (6) (2024)
James Koch, Madelyn Shapiro, Himanshu Sharma, Draguna L. Vrabie, Ján Drgona
Neural Differential Algebraic Equations. CoRR (2024)
Renukanandan Tumu, Wenceslao Shaw-Cortez, Ján Drgona, Draguna L. Vrabie, Sonja Glavaski
Differentiable Predictive Control for Large-Scale Urban Road Networks. CoRR (2024)
Truong X. Nghiem, Ján Drgona, Colin N. Jones, Zoltán Nagy, Roland Schwan, Biswadip Dey, Ankush Chakrabarty, Stefano Di Cairano, Joel A. Paulson, Andrea Carron, Melanie N. Zeilinger, Wenceslao Shaw-Cortez, Draguna L. Vrabie
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems. ACC (2023)
James A. Ang, Kevin J. Barker, Draguna L. Vrabie, Gokcen Kestor
Codesign for Extreme Heterogeneity: Integrating Custom Hardware With Commodity Computing Technology to Support Next-Generation HPC Converged Workloads. IEEE Internet Comput. 27 (1) (2023)
Himanshu Sharma, Joshua D. Suetterlein, Sumathi Lakshmiranganatha, Thomas Flynn, Draguna L. Vrabie, Christine Sweeney, Vinay Ramakrishniah
EXARL-PARS: Parallel Augmented Random Search Using Reinforcement Learning at Scale for Applications in Power Systems. e-Energy (Companion) (2023)
Truong X. Nghiem, Ján Drgona, Colin N. Jones, Zoltán Nagy, Roland Schwan, Biswadip Dey, Ankush Chakrabarty, Stefano Di Cairano, Joel A. Paulson, Andrea Carron, Melanie N. Zeilinger, Wenceslao Shaw-Cortez, Draguna L. Vrabie
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems. CoRR (2023)
Damoon Soudbakhsh, Anuradha M. Annaswamy, Yan Wang, Steven L. Brunton, Joseph E. Gaudio, Heather S. Hussain, Draguna L. Vrabie, Ján Drgona, Dimitar P. Filev
Data-Driven Control: Theory and Applications. ACC (2023)
Wenceslao Shaw-Cortez, Ján Drgona, Draguna L. Vrabie, Mahantesh Halappanavar
Robust Differentiable Predictive Control with Safety Guarantees: A Predictive Safety Filter Approach. CoRR (2023)
Ján Drgona, Sayak Mukherjee, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie
Learning Stochastic Parametric Differentiable Predictive Control Policies. CoRR (2022)
Ethan King, Ján Drgona, Aaron Tuor, Shrirang Abhyankar, Craig Bakker, Arnab Bhattacharya, Draguna L. Vrabie
Koopman-based Differentiable Predictive Control for the Dynamics-Aware Economic Dispatch Problem. CoRR (2022)
James Koch, Zhao Chen, Aaron Tuor, Ján Drgona, Draguna L. Vrabie
Structural Inference of Networked Dynamical Systems with Universal Differential Equations. CoRR (2022)
Sayak Mukherjee, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie
Neural Lyapunov Differentiable Predictive Control. CDC (2022)
Wenceslao Shaw-Cortez, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie
Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach. CDC (2022)
Ethan King, Ján Drgona, Aaron Tuor, Shrirang Abhyankar, Craig Bakker, Arnab Bhattacharya, Draguna L. Vrabie
Koopman-based Differentiable Predictive Control for the Dynamics-Aware Economic Dispatch Problem. ACC (2022)
Subhrajit Sinha, Sai Pushpak Nandanoori, Ján Drgona, Draguna L. Vrabie
Data-driven Stabilization of Discrete-time Control-affine Nonlinear Systems: A Koopman Operator Approach. CoRR (2022)
Subhrajit Sinha, Sai Pushpak Nandanoori, Ján Drgona, Draguna L. Vrabie
Data-driven Stabilization of Discrete-time Control-affine Nonlinear Systems: A Koopman Operator Approach. ECC (2022)
Wenceslao Shaw-Cortez, Soumya Vasisht, Aaron Tuor, Ján Drgona, Draguna L. Vrabie
Domain-aware Control-oriented Neural Models for Autonomous Underwater Vehicles. CoRR (2022)
Wenceslao Shaw-Cortez, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie
Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach. CoRR (2022)
Sayak Mukherjee, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie
Neural Lyapunov Differentiable Predictive Control. CoRR (2022)
Sayak Mukherjee, Sai Pushpak Nandanoori, Sheng Guan, Khushbu Agarwal, Subhrajit Sinha, Soumya Kundu, Seemita Pal, Yinghui Wu, Draguna L. Vrabie, Sutanay Choudhury
Learning Distributed Geometric Koopman Operator for Sparse Networked Dynamical Systems. LoG (2022)
Sai Pushpak Nandanoori, Soumya Kundu, Jianming Lian, Umesh Vaidya, Draguna L. Vrabie, Karanjit Kalsi
Sparse Control Synthesis for Uncertain Responsive Loads with Stochastic Stability Guarantees. CoRR (2021)
Soumya Vasisht, Arnab Bhattacharya, Sen Huang, Himanshu Sharma, Veronica Adetola, Draguna L. Vrabie
Co-Design of Commercial Building HVAC using Bayesian Optimization. ACC (2021)
Elliott Skomski, Soumya Vasisht, Colby Wight, Aaron Tuor, Jan Drgona, Draguna L. Vrabie
Constrained Block Nonlinear Neural Dynamical Models. ACC (2021)
Milan Jain, Soumya Kundu, Arnab Bhattacharya, Sen Huang, Vikas Chandan, Nikitha Radhakrishnan, Veronica Adetola, Draguna L. Vrabie
Occupancy-Driven Stochastic Decision Framework for Ranking Commercial Building Loads. CoRR (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)
Aydin Buluç, Tamara G. Kolda, Stefan M. Wild, Mihai Anitescu, Anthony DeGennaro, John Jakeman, Chandrika Kamath, Ramakrishnan Kannan, Miles E. Lopes, Per-Gunnar Martinsson, Kary Myers, Jelani Nelson, Juan M. Restrepo, C. Seshadhri, Draguna L. Vrabie, Brendt Wohlberg, Stephen J. Wright, Chao Yang, Peter Zwart
Randomized Algorithms for Scientific Computing (RASC). CoRR (2021)
Milan Jain, Soumya Kundu, Arnab Bhattacharya, Sen Huang, Vikas Chandan, Nikitha Radhakrishnan, Veronica Adetola, Draguna L. Vrabie
Occupancy-Driven Stochastic Decision Framework for Ranking Commercial Building Loads. ACC (2021)
Craig Bakker, Arnab Bhattacharya, Samrat Chatterjee, Draguna L. Vrabie
Metagames and Hypergames for Deception-Robust Control. ACM Trans. Cyber Phys. Syst. 5 (3) (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)
Indrasis Chakraborty, Yan Chen, Jing Li, Draguna L. Vrabie
Theoretical Development of Controller Transfer applied to Dynamical Systems. e-Energy (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)
Craig Bakker, Arnab Bhattacharya, Samrat Chatterjee, Draguna L. Vrabie
Hypergames and Cyber-Physical Security for Control Systems. ACM Trans. Cyber Phys. Syst. 4 (4) (2020)
Craig Bakker, Arnab Bhattacharya, Samrat Chatterjee, Draguna L. Vrabie
Learning and Information Manipulation: Repeated Hypergames for Cyber-Physical Security. IEEE Control. Syst. Lett. 4 (2) (2020)
Jin Dong, Thiagarajan Ramachandran, Piljae Im, Sen Huang, Vikas Chandan, Draguna L. Vrabie, P. Teja Kuruganti
Online Learning for Commercial Buildings. e-Energy (2019)
Indrasis Chakraborty, Vikas Chandan, Draguna L. Vrabie
A sequential DNN based Baseline Energy Prediction Framework with Long term Error Mitigation. e-Energy (2019)
Yangyang Fu, Sen Huang, Draguna L. Vrabie, Wangda Zuo
Coupling Power System Dynamics and Building Dynamics to Enabling Building-to-Grid Integration. Modelica (2019)
Soumya Kundu, Thiagarajan Ramachandran, Yan Chen, Draguna L. Vrabie
Optimal Energy Consumption Forecast for Grid Responsive Buildings: A Sensitivity Analysis. CCTA (2018)
Indrasis Chakraborty, Rudrasis Chakraborty, Draguna L. Vrabie
Generative Adversarial Network based Autoencoder: Application to Fault Detection Problem for Closed Loop Dynamical Systems. DX@Safeprocess (2018)
Sai Pushpak Nandanoori, Soumya Kundu, Draguna L. Vrabie, Karan Kalsi, Jianming Lian
Prioritized Threshold Allocation for Distributed Frequency Response. CCTA (2018)
Indrasis Chakraborty, Rudrasis Chakraborty, Draguna L. Vrabie
Generative Adversarial Network based Autoencoder: Application to fault detection problem for closed loop dynamical systems. CoRR (2018)
Craig Bakker, Arnab Bhattacharya, Samrat Chatterjee, Draguna L. Vrabie
Hypergames and Cyber-Physical Security for Control Systems. CoRR (2018)
Thiagarajan Ramachandran, Soumya Kundu, Yan Chen, Draguna L. Vrabie
Towards a framework for selection of supervisory control for commercial buildings: HVAC system energy efficiency. ACC (2017)
Javier Rubio-Herrero, Vikas Chandan, Charles Siegel, Abhinav Vishnu, Draguna L. Vrabie
A Learning Framework for Control-Oriented Modeling of Buildings. ICMLA (2017)
Sorin C. Bengea, Veronica Adetola, Keunmo Kang, Michael J. Liba, Draguna L. Vrabie, Robert R. Bitmead, Satish Narayanan
Parameter estimation of a building system model and impact of estimation error on closed-loop performance. CDC/ECC (2011)
Kyriakos G. Vamvoudakis, Draguna L. Vrabie, Frank L. Lewis
Online adaptive learning of optimal control solutions using integral reinforcement learning. ADPRL (2011)
Draguna L. Vrabie, Frank L. Lewis
Integral Reinforcement Learning for online computation of feedback Nash strategies of nonzero-sum differential games. CDC (2010)
Draguna L. Vrabie, Frank L. Lewis
Adaptive Dynamic Programming algorithm for finding online the equilibrium solution of the two-player zero-sum differential game. IJCNN (2010)
Draguna L. Vrabie, Frank L. Lewis
Generalized Policy Iteration for continuous-time systems. IJCNN (2009)
Draguna L. Vrabie, Frank L. Lewis
Neural network approach to continuous-time direct adaptive optimal control for partially unknown nonlinear systems. Neural Networks 22 (3) (2009)
Kyriakos G. Vamvoudakis, Draguna L. Vrabie, Frank L. Lewis
Online policy iteration based algorithms to solve the continuous-time infinite horizon optimal control problem. ADPRL (2009)
Draguna L. Vrabie, Octavian C. Pastravanu, Murad Abu-Khalaf, Frank L. Lewis
Adaptive optimal control for continuous-time linear systems based on policy iteration. Autom. 45 (2) (2009)
Draguna L. Vrabie, Frank L. Lewis, Daniel S. Levine
Neural Network-Based Adaptive Optimal Controller - A Continuous-Time Formulation. ICIC (3) (2008)
Draguna L. Vrabie, Frank L. Lewis
Adaptive optimal control algorithm for continuous-time nonlinear systems based on policy iteration. CDC (2008)
Asma Al-Tamimi, Draguna L. Vrabie, Murad Abu-Khalaf, Frank L. Lewis
Model-free Approximate Dynamic Programming Schemes for Linear Systems. IJCNN (2007)
Corneliu Lazar, Sorin Carari, Draguna L. Vrabie, Marius Kloetzer
Neuro-predictive control based self-tuning of PID controllers. ESANN (2004)