Draguna L. Vrabie

69 papers B 4C 10Journal 36Unranked 19

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Method for Learning to Solve Parametric Bilevel Optimization with Coupling Constraints. CoRR James Kotary, Himanshu Sharma, Ethan King, Draguna L. Vrabie, Ferdinando Fioretto, Ján Drgona
2025	J	`jnl`	Homotopy-Guided Self-Supervised Learning of Parametric Solutions for AC Optimal Power Flow. CoRR Shimiao Li, Aaron Tuor, Draguna L. Vrabie, Larry T. Pileggi, Ján Drgona
2025	—	`conf`	Learning Neural Differential Algebraic Equations via Operator Splitting. CDC James Koch, Madelyn Shapiro, Himanshu Sharma, Draguna L. Vrabie, Ján Drgona
2025	J	`jnl`	Physics-informed machine learning for building performance simulation-A review of a nascent field. CoRR Zixin Jiang, Xuezheng Wang, Han Li, Tianzhen Hong, Fengqi You, Ján Drgona, Draguna L. Vrabie, Bing Dong
2025	J	`jnl`	Safe Physics-Informed Machine Learning for Dynamics and Control. CoRR Ján Drgona, Truong X. Nghiem, Thomas Beckers, Mahyar Fazlyab, Enrique Mallada, Colin N. Jones, Draguna L. Vrabie, Steven L. Brunton, Rolf Findeisen
2025	C	`conf`	Safe Physics-informed Machine Learning for Dynamics and Control. ACC Ján Drgona, Truong X. Nghiem, Thomas Beckers, Mahyar Fazlyab, Enrique Mallada, Colin N. Jones, Draguna L. Vrabie, Steven L. Brunton, Rolf Findeisen
2024	C	`conf`	Deep Multi-Agent Reinforcement Learning for Real-World Signalized Traffic Corridor Control. ICMLA Salman Shuvo, Sayak Mukherjee, Samrat Chatterjee, Sonja Glavaski, Draguna L. Vrabie, Geline Canayon, Matthew Juckes, Raimundo Rodulfo
2024	J	`jnl`	Differentiable Predictive Control for Large-Scale Urban Road Networks. CoRR Renukanandan Tumu, Wenceslao Shaw-Cortez, Ján Drgona, Draguna L. Vrabie, Sonja Glavaski
2024	J	`jnl`	Differentiable Predictive Control for Robotics: A Data-Driven Predictive Safety Filter Approach. CoRR John Viljoen, Wenceslao Shaw-Cortez, Ján Drgona, Sebastian East, Masayoshi Tomizuka, Draguna L. Vrabie
2024	J	`jnl`	Learning Constrained Parametric Differentiable Predictive Control Policies With Guarantees. IEEE Trans. Syst. Man Cybern. Syst. Ján Drgona, Aaron Tuor, Draguna L. Vrabie
2024	J	`jnl`	Neural Differential Algebraic Equations. CoRR James Koch, Madelyn Shapiro, Himanshu Sharma, Draguna L. Vrabie, Ján Drgona
2023	J	`jnl`	Codesign for Extreme Heterogeneity: Integrating Custom Hardware With Commodity Computing Technology to Support Next-Generation HPC Converged Workloads. IEEE Internet Comput. James A. Ang, Kevin J. Barker, Draguna L. Vrabie, Gokcen Kestor
2023	C	`conf`	Data-Driven Control: Theory and Applications. ACC Damoon Soudbakhsh, Anuradha M. Annaswamy, Yan Wang, Steven L. Brunton, Joseph E. Gaudio, Heather S. Hussain, Draguna L. Vrabie, Ján Drgona, Dimitar P. Filev
2023	—	`conf`	EXARL-PARS: Parallel Augmented Random Search Using Reinforcement Learning at Scale for Applications in Power Systems. e-Energy (Companion) Himanshu Sharma, Joshua D. Suetterlein, Sumathi Lakshmiranganatha, Thomas Flynn, Draguna L. Vrabie, Christine Sweeney, Vinay Ramakrishnaiah
2023	C	`conf`	Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems. ACC 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
2023	J	`jnl`	Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems. CoRR 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
2023	J	`jnl`	Robust Differentiable Predictive Control with Safety Guarantees: A Predictive Safety Filter Approach. CoRR Wenceslao Shaw-Cortez, Ján Drgona, Draguna L. Vrabie, Mahantesh Halappanavar
2022	—	`conf`	Data-driven Stabilization of Discrete-time Control-affine Nonlinear Systems: A Koopman Operator Approach. ECC Subhrajit Sinha, Sai Pushpak Nandanoori, Ján Drgona, Draguna L. Vrabie
2022	J	`jnl`	Data-driven Stabilization of Discrete-time Control-affine Nonlinear Systems: A Koopman Operator Approach. CoRR Subhrajit Sinha, Sai Pushpak Nandanoori, Ján Drgona, Draguna L. Vrabie
2022	—	`conf`	Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach. CDC Wenceslao Shaw-Cortez, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie
2022	J	`jnl`	Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach. CoRR Wenceslao Shaw-Cortez, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie
2022	J	`jnl`	Domain-aware Control-oriented Neural Models for Autonomous Underwater Vehicles. CoRR Wenceslao Shaw-Cortez, Soumya Vasisht, Aaron Tuor, Ján Drgona, Draguna L. Vrabie
2022	C	`conf`	Koopman-based Differentiable Predictive Control for the Dynamics-Aware Economic Dispatch Problem. ACC Ethan King, Ján Drgona, Aaron Tuor, Shrirang Abhyankar, Craig Bakker, Arnab Bhattacharya, Draguna L. Vrabie
2022	J	`jnl`	Koopman-based Differentiable Predictive Control for the Dynamics-Aware Economic Dispatch Problem. CoRR Ethan King, Ján Drgona, Aaron Tuor, Shrirang Abhyankar, Craig Bakker, Arnab Bhattacharya, Draguna L. Vrabie
2022	—	`conf`	Learning Distributed Geometric Koopman Operator for Sparse Networked Dynamical Systems. LoG Sayak Mukherjee, Sai Pushpak Nandanoori, Sheng Guan, Khushbu Agarwal, Subhrajit Sinha, Soumya Kundu, Seemita Pal, Yinghui Wu, Draguna L. Vrabie, Sutanay Choudhury
2022	J	`jnl`	Learning Stochastic Parametric Differentiable Predictive Control Policies. CoRR Ján Drgona, Sayak Mukherjee, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie
2022	—	`conf`	Neural Lyapunov Differentiable Predictive Control. CDC Sayak Mukherjee, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie
2022	J	`jnl`	Neural Lyapunov Differentiable Predictive Control. CoRR Sayak Mukherjee, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie
2022	J	`jnl`	Structural Inference of Networked Dynamical Systems with Universal Differential Equations. CoRR James Koch, Zhao Chen, Aaron Tuor, Ján Drgona, Draguna L. Vrabie
2021	C	`conf`	Co-Design of Commercial Building HVAC using Bayesian Optimization. ACC Soumya Vasisht, Arnab Bhattacharya, Sen Huang, Himanshu Sharma, Veronica Adetola, Draguna L. Vrabie
2021	C	`conf`	Constrained Block Nonlinear Neural Dynamical Models. ACC Elliott Skomski, Soumya Vasisht, Colby Wight, Aaron Tuor, Ján Drgona, Draguna L. Vrabie
2021	J	`jnl`	Constrained Block Nonlinear Neural Dynamical Models. CoRR Elliott Skomski, Soumya Vasisht, Colby Wight, Aaron Tuor, Ján Drgona, Draguna L. Vrabie
2021	J	`jnl`	Deep Learning Explicit Differentiable Predictive Control Laws for Buildings. CoRR Ján Drgona, Aaron Tuor, Soumya Vasisht, Elliott Skomski, Draguna L. Vrabie
2021	J	`jnl`	Metagames and Hypergames for Deception-Robust Control. ACM Trans. Cyber Phys. Syst. Craig Bakker, Arnab Bhattacharya, Samrat Chatterjee, Draguna L. Vrabie
2021	C	`conf`	Occupancy-Driven Stochastic Decision Framework for Ranking Commercial Building Loads. ACC Milan Jain, Soumya Kundu, Arnab Bhattacharya, Sen Huang, Vikas Chandan, Nikitha Radhakrishnan, Veronica Adetola, Draguna L. Vrabie
2021	J	`jnl`	Occupancy-Driven Stochastic Decision Framework for Ranking Commercial Building Loads. CoRR Milan Jain, Soumya Kundu, Arnab Bhattacharya, Sen Huang, Vikas Chandan, Nikitha Radhakrishnan, Veronica Adetola, Draguna L. Vrabie
2021	J	`jnl`	Randomized Algorithms for Scientific Computing (RASC). CoRR Aydin Buluç, Tamara G. Kolda, Stefan M. Wild, Mihai Anitescu, Anthony M. DeGennaro, John Jakeman, Chandrika Kamath, Ramakrishnan Kannan, Miles E. Lopes, Per-Gunnar Martinsson, Kary L. Myers, Jelani Nelson, Juan M. Restrepo, C. Seshadhri, Draguna L. Vrabie, Brendt Wohlberg, Stephen J. Wright, Chao Yang, Peter Zwart
2021	J	`jnl`	Sparse Control Synthesis for Uncertain Responsive Loads with Stochastic Stability Guarantees. CoRR Sai Pushpak Nandanoori, Soumya Kundu, Jianming Lian, Umesh Vaidya, Draguna L. Vrabie, Karanjit Kalsi
2020	J	`jnl`	All you need to know about model predictive control for buildings. Annu. Rev. Control. Ján Drgona, Javier Arroyo, Iago Cupeiro Figueroa, David H. Blum, Krzysztof Arendt, Donghun Kim, Enric Perarnau Ollé, Juraj Oravec, Michael Wetter, Draguna L. Vrabie, Lieve Helsen
2020	J	`jnl`	Constrained Neural Ordinary Differential Equations with Stability Guarantees. CoRR Aaron Tuor, Ján Drgona, Draguna L. Vrabie
2020	J	`jnl`	Constrained Physics-Informed Deep Learning for Stable System Identification and Control of Unknown Linear Systems. CoRR Ján Drgona, Aaron Tuor, Draguna L. Vrabie
2020	J	`jnl`	Differentiable Predictive Control: An MPC Alternative for Unknown Nonlinear Systems using Constrained Deep Learning. CoRR Ján Drgona, Karol Kis, Aaron Tuor, Draguna L. Vrabie, Martin Klauco
2020	J	`jnl`	Hypergames and Cyber-Physical Security for Control Systems. ACM Trans. Cyber Phys. Syst. Craig Bakker, Arnab Bhattacharya, Samrat Chatterjee, Draguna L. Vrabie
2020	J	`jnl`	Learning and Information Manipulation: Repeated Hypergames for Cyber-Physical Security. IEEE Control. Syst. Lett. Craig Bakker, Arnab Bhattacharya, Samrat Chatterjee, Draguna L. Vrabie
2020	J	`jnl`	Physics-constrained Deep Learning of Multi-zone Building Thermal Dynamics. CoRR Ján Drgona, Aaron Randall Tuor, Vikas Chandan, Draguna L. Vrabie
2020	J	`jnl`	Spectral Analysis and Stability of Deep Neural Dynamics. CoRR Ján Drgona, Elliott Skomski, Soumya Vasisht, Aaron Tuor, Draguna L. Vrabie
2020	—	`conf`	Theoretical Development of Controller Transfer applied to Dynamical Systems. e-Energy Indrasis Chakraborty, Yan Chen, Jing Li, Draguna L. Vrabie
2019	—	`conf`	A sequential DNN based Baseline Energy Prediction Framework with Long term Error Mitigation. e-Energy Indrasis Chakraborty, Vikas Chandan, Draguna L. Vrabie
2019	—	`conf`	Coupling Power System Dynamics and Building Dynamics to Enabling Building-to-Grid Integration. Modelica Yangyang Fu, Sen Huang, Draguna L. Vrabie, Wangda Zuo
2019	—	`conf`	Online Learning for Commercial Buildings. e-Energy Jin Dong, Thiagarajan Ramachandran, Piljae Im, Sen Huang, Vikas Chandan, Draguna L. Vrabie, P. Teja Kuruganti
2018	—	`conf`	Generative Adversarial Network based Autoencoder: Application to Fault Detection Problem for Closed Loop Dynamical Systems. DX@Safeprocess Indrasis Chakraborty, Rudrasis Chakraborty, Draguna L. Vrabie
2018	J	`jnl`	Generative Adversarial Network based Autoencoder: Application to fault detection problem for closed loop dynamical systems. CoRR Indrasis Chakraborty, Rudrasis Chakraborty, Draguna L. Vrabie
2018	J	`jnl`	Hypergames and Cyber-Physical Security for Control Systems. CoRR Craig Bakker, Arnab Bhattacharya, Samrat Chatterjee, Draguna L. Vrabie
2018	—	`conf`	Optimal Energy Consumption Forecast for Grid Responsive Buildings: A Sensitivity Analysis. CCTA Soumya Kundu, Thiagarajan Ramachandran, Yan Chen, Draguna L. Vrabie
2018	—	`conf`	Prioritized Threshold Allocation for Distributed Frequency Response. CCTA Sai Pushpak Nandanoori, Soumya Kundu, Draguna L. Vrabie, Karan Kalsi, Jianming Lian
2017	C	`conf`	A Learning Framework for Control-Oriented Modeling of Buildings. ICMLA Javier Rubio-Herrero, Vikas Chandan, Charles Siegel, Abhinav Vishnu, Draguna L. Vrabie
2017	C	`conf`	Towards a framework for selection of supervisory control for commercial buildings: HVAC system energy efficiency. ACC Thiagarajan Ramachandran, Soumya Kundu, Yan Chen, Draguna L. Vrabie
2011	—	`conf`	Online adaptive learning of optimal control solutions using integral reinforcement learning. ADPRL Kyriakos G. Vamvoudakis, Draguna L. Vrabie, Frank L. Lewis
2011	—	`conf`	Parameter estimation of a building system model and impact of estimation error on closed-loop performance. CDC/ECC Sorin C. Bengea, Veronica Adetola, Keunmo Kang, Michael J. Liba, Draguna L. Vrabie, Robert R. Bitmead, Satish Narayanan
2010	B	`conf`	Adaptive Dynamic Programming algorithm for finding online the equilibrium solution of the two-player zero-sum differential game. IJCNN Draguna L. Vrabie, Frank L. Lewis
2010	—	`conf`	Integral Reinforcement Learning for online computation of feedback Nash strategies of nonzero-sum differential games. CDC Draguna L. Vrabie, Frank L. Lewis
2009	J	`jnl`	Adaptive optimal control for continuous-time linear systems based on policy iteration. Autom. Draguna L. Vrabie, Octavian C. Pastravanu, Murad Abu-Khalaf, Frank L. Lewis
2009	B	`conf`	Generalized Policy Iteration for continuous-time systems. IJCNN Draguna L. Vrabie, Frank L. Lewis
2009	J	`jnl`	Neural network approach to continuous-time direct adaptive optimal control for partially unknown nonlinear systems. Neural Networks Draguna L. Vrabie, Frank L. Lewis
2009	—	`conf`	Online policy iteration based algorithms to solve the continuous-time infinite horizon optimal control problem. ADPRL Kyriakos G. Vamvoudakis, Draguna L. Vrabie, Frank L. Lewis
2008	—	`conf`	Adaptive optimal control algorithm for continuous-time nonlinear systems based on policy iteration. CDC Draguna L. Vrabie, Frank L. Lewis
2008	—	`conf`	Neural Network-Based Adaptive Optimal Controller - A Continuous-Time Formulation. ICIC (3) Draguna L. Vrabie, Frank L. Lewis, Daniel S. Levine
2007	B	`conf`	Model-free Approximate Dynamic Programming Schemes for Linear Systems. IJCNN Asma Al-Tamimi, Draguna L. Vrabie, Murad Abu-Khalaf, Frank L. Lewis
2004	B	`conf`	Neuro-predictive control based self-tuning of PID controllers. ESANN Corneliu Lazar, Sorin Carari, Draguna L. Vrabie, Marius Kloetzer