| Optimal control (hardback) FL LEWIS, D VRABIE, VL SYRMOS | 6277* | 2012 |
| Reinforcement learning and adaptive dynamic programming for feedback control FL Lewis, D Vrabie Circuits and Systems Magazine, IEEE 9 (3), 32-50, 2009 | 1521 | 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 | 1036 | 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 | 876 | 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 | 655 | 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 | 580 | 2020 |
| Optimal adaptive control and differential games by reinforcement learning principles D Vrabie, KG Vamvoudakis, FL Lewis Inst of Engineering & Technology, 2012 | 354 | 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 | 160 | 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 | 148 | 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 | 101 | 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 | 80 | 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 | 78 | 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 | 69 | 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 | 67 | 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 | 62 | 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 | 59 | 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 | 49 | 2007 |
| 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 | 47 | 2009 |
| 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 | 45 | 2015 |
| 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, ... | 40 | 2019 |
F.L. Lewisprofessor of electrical engineering, The University of Texas at Arlington在 uta.edu 的电子邮件经过验证
