Draguna Vrabie

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Soavtorji

F.L. Lewisprofessor of electrical engineering, The University of Texas at ArlingtonPreverjeni e-poštni naslov na uta.edu
Jan DrgonaJohns Hopkins UniversityPreverjeni e-poštni naslov na jh.edu
Sen HuangOak Ridge National LaboratoryPreverjeni e-poštni naslov na ornl.gov
Kyriakos G. VamvoudakisDutton-Ducoffe Endowed Professor, School of Aerospace Engineering, Georgia Institute of TechnologyPreverjeni e-poštni naslov na gatech.edu
Aaron TuorWestern Washington UniversityPreverjeni e-poštni naslov na pnnl.gov
Helsen LieveProfessor of Mechanical Engineering, KU LeuvenPreverjeni e-poštni naslov na mech.kuleuven.be
Michael WetterLBNL, Berkeley, CAPreverjeni e-poštni naslov na lbl.gov
Murad Abu-KhalafMassachusetts Institute of TechnologyPreverjeni e-poštni naslov na csail.mit.edu
Yan ChenPacific Northwest National LaboratoryPreverjeni e-poštni naslov na pnnl.gov
David H. BlumComputational Research Scientist/Engineer, Lawrence Berkeley National LaboratoryPreverjeni e-poštni naslov na lbl.gov
Vassilis SyrmosUniversity of HawaiiPreverjeni e-poštni naslov na hawaii.edu
Javier ArroyoWedocoPreverjeni e-poštni naslov na wedoco.io
Wangda ZuoProfessor, Pennsylvania State UniversityPreverjeni e-poštni naslov na psu.edu
Arnab BhattacharyaPacific Northwest National LaboratoryPreverjeni e-poštni naslov na pnnl.gov
Vikas ChandanSenior Scientist, CrossnokayePreverjeni e-poštni naslov na crossnokaye.com
Soumya VasishtPacific Northwest National Laboratory | University of WashingtonPreverjeni e-poštni naslov na uw.edu
Saptarshi BhattacharyaStaff Scientist, Pacific Northwest National LaboratoryPreverjeni e-poštni naslov na pnnl.gov
Octavian PastravanuTechnical University "Gh. Asachi" of Iasi, RomaniaPreverjeni e-poštni naslov na ac.tuiasi.ro
Soumya KunduPacific Northwest National Laboratory, University of Vermont, Washington State UniversityPreverjeni e-poštni naslov na pnnl.gov
Piljae ImOak Ridge National LaboratoryPreverjeni e-poštni naslov na ornl.gov

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Draguna Vrabie

Pacific Northwest National Laboratory

Preverjeni e-poštni naslov na pnnl.gov

Control Systems and Machine Learning


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Optimal control (hardback) FL LEWIS, D VRABIE, VL SYRMOS	6638*	2012
Reinforcement learning and adaptive dynamic programming for feedback control FL Lewis, D Vrabie Circuits and Systems Magazine, IEEE 9 (3), 32-50, 2009	1656	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	1140	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	951	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	775	2020
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	702	2009
Optimal adaptive control and differential games by reinforcement learning principles D Vrabie, KG Vamvoudakis, FL Lewis Inst of Engineering & Technology, 2012	387	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	176	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	158	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	138	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	132	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	113	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	71	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	71	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	67	2008
Ten questions concerning reinforcement learning for building energy management Z Nagy, G Henze, S Dey, J Arroyo, L Helsen, X Zhang, B Chen, ... Building and Environment, 110435, 2023	66	2023
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	62	2011
Differentiable predictive control: Deep learning alternative to explicit model predictive control for unknown nonlinear systems J Drgoňa, K Kiš, A Tuor, D Vrabie, M Klaučo Journal of Process Control 116, 80-92, 2022	60	2022
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	51	2015
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	50	2007

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