Draguna L. Vrabie
Orcid: 0000-0002-1547-2049
According to our database1,
Draguna L. Vrabie
authored at least 50 papers
between 2004 and 2024.
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Bibliography
2024
2023
Codesign for Extreme Heterogeneity: Integrating Custom Hardware With Commodity Computing Technology to Support Next-Generation HPC Converged Workloads.
IEEE Internet Comput., 2023
Robust Differentiable Predictive Control with Safety Guarantees: A Predictive Safety Filter Approach.
CoRR, 2023
EXARL-PARS: Parallel Augmented Random Search Using Reinforcement Learning at Scale for Applications in Power Systems.
Proceedings of the Companion Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023
Proceedings of the American Control Conference, 2023
Proceedings of the American Control Conference, 2023
2022
CoRR, 2022
Structural Inference of Networked Dynamical Systems with Universal Differential Equations.
CoRR, 2022
CoRR, 2022
Learning Distributed Geometric Koopman Operator for Sparse Networked Dynamical Systems.
Proceedings of the Learning on Graphs Conference, 2022
Data-driven Stabilization of Discrete-time Control-affine Nonlinear Systems: A Koopman Operator Approach.
Proceedings of the European Control Conference, 2022
Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Koopman-based Differentiable Predictive Control for the Dynamics-Aware Economic Dispatch Problem.
Proceedings of the American Control Conference, 2022
2021
ACM Trans. Cyber Phys. Syst., 2021
CoRR, 2021
Sparse Control Synthesis for Uncertain Responsive Loads with Stochastic Stability Guarantees.
CoRR, 2021
Proceedings of the 2021 American Control Conference, 2021
Proceedings of the 2021 American Control Conference, 2021
Occupancy-Driven Stochastic Decision Framework for Ranking Commercial Building Loads.
Proceedings of the 2021 American Control Conference, 2021
2020
ACM Trans. Cyber Phys. Syst., 2020
Learning and Information Manipulation: Repeated Hypergames for Cyber-Physical Security.
IEEE Control. Syst. Lett., 2020
CoRR, 2020
Differentiable Predictive Control: An MPC Alternative for Unknown Nonlinear Systems using Constrained Deep Learning.
CoRR, 2020
Constrained Physics-Informed Deep Learning for Stable System Identification and Control of Unknown Linear Systems.
CoRR, 2020
CoRR, 2020
Annu. Rev. Control., 2020
Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020
2019
Coupling Power System Dynamics and Building Dynamics to Enabling Building-to-Grid Integration.
Proceedings of the 13th International Modelica Conference, Regensburg, Germany, 2019
Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019
A sequential DNN based Baseline Energy Prediction Framework with Long term Error Mitigation.
Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019
2018
Generative Adversarial Network based Autoencoder: Application to Fault Detection Problem for Closed Loop Dynamical Systems.
Proceedings of the 29th International Workshop on Principles of Diagnosis co-located with 10th IFAC Symposium on Fault Detection, 2018
Proceedings of the IEEE Conference on Control Technology and Applications, 2018
Optimal Energy Consumption Forecast for Grid Responsive Buildings: A Sensitivity Analysis.
Proceedings of the IEEE Conference on Control Technology and Applications, 2018
2017
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017
Towards a framework for selection of supervisory control for commercial buildings: HVAC system energy efficiency.
Proceedings of the 2017 American Control Conference, 2017
2011
Parameter estimation of a building system model and impact of estimation error on closed-loop performance.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
Online adaptive learning of optimal control solutions using integral reinforcement learning.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011
2010
Adaptive Dynamic Programming algorithm for finding online the equilibrium solution of the two-player zero-sum differential game.
Proceedings of the International Joint Conference on Neural Networks, 2010
Integral Reinforcement Learning for online computation of feedback Nash strategies of nonzero-sum differential games.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
2009
Neural network approach to continuous-time direct adaptive optimal control for partially unknown nonlinear systems.
Neural Networks, 2009
Adaptive optimal control for continuous-time linear systems based on policy iteration.
Autom., 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
Online policy iteration based algorithms to solve the continuous-time infinite horizon optimal control problem.
Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009
2008
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, 2008
Adaptive optimal control algorithm for continuous-time nonlinear systems based on policy iteration.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008
2007
Proceedings of the International Joint Conference on Neural Networks, 2007
2004
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004