Draguna Vrabie
Draguna Vrabie
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Zitiert von
Zitiert von
Optimal control (hardback)
Reinforcement learning and adaptive dynamic programming for feedback control
FL Lewis, D Vrabie
Circuits and Systems Magazine, IEEE 9 (3), 32-50, 2009
Reinforcement learning and feedback control: Using natural decision methods to design optimal adaptive controllers
FL Lewis, D Vrabie, KG Vamvoudakis
IEEE Control Systems Magazine 32 (6), 76-105, 2012
Adaptive optimal control for continuous-time linear systems based on policy iteration
D Vrabie, O Pastravanu, M Abu-Khalaf, FL Lewis
Automatica 45 (2), 477-484, 2009
Neural network approach to continuous-time direct adaptive optimal control for partially unknown nonlinear systems
D Vrabie, F Lewis
Neural Networks 22 (3), 237-246, 2009
All you need to know about model predictive control for buildings
J Drgoňa, J Arroyo, IC Figueroa, D Blum, K Arendt, D Kim, EP Ollé, ...
Annual Reviews in Control 50, 190-232, 2020
Optimal adaptive control and differential games by reinforcement learning principles
D Vrabie, KG Vamvoudakis, FL Lewis
Inst of Engineering & Technology, 2012
Online adaptive algorithm for optimal control with integral reinforcement learning
KG Vamvoudakis, D Vrabie, FL Lewis
International Journal of Robust and Nonlinear Control 24 (17), 2686-2710, 2014
Adaptive dynamic programming for online solution of a zero-sum differential game
D Vrabie, F Lewis
Journal of Control Theory and Applications 9, 353-360, 2011
Physics-constrained deep learning of multi-zone building thermal dynamics
J Drgoňa, AR Tuor, V Chandan, DL Vrabie
Energy and Buildings 243, 110992, 2021
Building optimization testing framework (BOPTEST) for simulation-based benchmarking of control strategies in buildings
D Blum, J Arroyo, S Huang, J Drgoňa, F Jorissen, HT Walnum, Y Chen, ...
Journal of Building Performance Simulation 14 (5), 586-610, 2021
Sensor impacts on building and HVAC controls: A critical review for building energy performance
Y Bae, S Bhattacharya, B Cui, S Lee, Y Li, L Zhang, P Im, V Adetola, ...
Advances in Applied Energy 4, 100068, 2021
Integral Reinforcement Learning for online computation of feedback Nash strategies of nonzero-sum differential games
D Vrabie, F Lewis
Decision and Control (CDC), 2010 49th IEEE Conference on, 3066-3071, 2010
Adaptive optimal controllers based on generalized policy iteration in a continuous-time framework
D Vrabie, K Vamvoudakis, F Lewis
2009 17th Mediterranean Conference on Control and Automation, 1402-1409, 2009
Adaptive optimal control algorithm for continuous-time nonlinear systems based on policy iteration
D Vrabie, FL Lewis
2008 47th IEEE Conference on Decision and Control, 73-79, 2008
Parameter estimation of a building system model and impact of estimation error on closed-loop performance
S Bengea, V Adetola, K Kang, MJ Liba, D Vrabie, R Bitmead, ...
2011 50th IEEE Conference on Decision and Control and European Control …, 2011
Continuous-time ADP for linear systems with partially unknown dynamics
D Vrabie, M Abu-Khalaf, FL Lewis, Y Wang
2007 IEEE International Symposium on Approximate Dynamic Programming and …, 2007
Simulation and experimental demonstration of model predictive control in a building HVAC system
P Li, D Vrabie, D Li, SC Bengea, S Mijanovic, ZD O’Neill
Science and Technology for the Built Environment 21 (6), 721-732, 2015
Online policy iteration based algorithms to solve the continuous-time infinite horizon optimal control problem
K Vamvoudakis, D Vrabie, F Lewis
Adaptive Dynamic Programming and Reinforcement Learning, 2009. ADPRL'09 …, 2009
Prototyping the BOPTEST framework for simulation-based testing of advanced control strategies in buildings
D Blum, F Jorissen, S Huang, Y Chen, J Arroyo, K Benne, Y Li, V Gavan, ...
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