Hybrid data-driven fuzzy active disturbance rejection control for tower crane systems RC Roman, RE Precup, EM Petriu European Journal of Control 58, 373-387, 2021 | 228 | 2021 |
Model-free sliding mode control of nonlinear systems: Algorithms and experiments RE Precup, MB Radac, RC Roman, EM Petriu Information Sciences 381, 176-192, 2017 | 154 | 2017 |
Policy iteration reinforcement learning-based control using a grey wolf optimizer algorithm IA Zamfirache, RE Precup, RC Roman, EM Petriu Information Sciences 585, 162-175, 2022 | 148 | 2022 |
Reinforcement Learning-based control using Q-learning and gravitational search algorithm with experimental validation on a nonlinear servo system IA Zamfirache, RE Precup, RC Roman, EM Petriu Information Sciences 583, 99-120, 2022 | 133 | 2022 |
Slime mould algorithm-based tuning of cost-effective fuzzy controllers for servo systems RE Precup, RC David, RC Roman, EM Petriu, AI Szedlak-Stinean International Journal of Computational Intelligence Systems 14 (1), 1042-1052, 2021 | 110 | 2021 |
Optimal tuning of interval type-2 fuzzy controllers for nonlinear servo systems using Slime Mould Algorithm RE Precup, RC David, RC Roman, AI Szedlak-Stinean, EM Petriu International Journal of Systems Science 54 (15), 2941-2956, 2023 | 105 | 2023 |
Combined model-free adaptive control with fuzzy component by virtual reference feedback tuning for tower crane systems RC Roman, RE Precup, CA Bojan-Dragos, AI Szedlak-Stinean Procedia Computer Science 162, 267-274, 2019 | 104 | 2019 |
Tensor product‐based model transformation approach to tower crane systems modeling EL Hedrea, RE Precup, RC Roman, EM Petriu Asian Journal of Control 23 (3), 1313-1323, 2021 | 88 | 2021 |
Second order intelligent proportional-integral fuzzy control of twin rotor aerodynamic systems RC Roman, RE Precup, RC David Procedia computer science 139, 372-380, 2018 | 88 | 2018 |
Data-driven model reference control of MIMO vertical tank systems with model-free VRFT and Q-Learning MB Radac, RE Precup, RC Roman ISA transactions 73, 227-238, 2018 | 81 | 2018 |
GWO-based optimal tuning of type-1 and type-2 fuzzy controllers for electromagnetic actuated clutch systems CA Bojan-Dragos, RE Precup, S Preitl, RC Roman, EL Hedrea, ... IFAC-PapersOnLine 54 (4), 189-194, 2021 | 78 | 2021 |
Multi‐input–multi‐output system experimental validation of model‐free control and virtual reference feedback tuning techniques RC Roman, MB Radac, RE Precup IET Control Theory & Applications 10 (12), 1395-1403, 2016 | 78 | 2016 |
Data-driven model-free controllers RE Precup, RC Roman, A Safaei CRC Press, 2021 | 72 | 2021 |
Model-based fuzzy control results for networked control systems RE Precup, S Preitl, E Petriu, CA Bojan-Dragos, AI Szedlak-Stinean, ... Reports in Mechanical Engineering 1 (1), 10-25, 2020 | 69 | 2020 |
Model-free control performance improvement using virtual reference feedback tuning and reinforcement Q-learning MB Radac, RE Precup, RC Roman International Journal of Systems Science 48 (5), 1071-1083, 2017 | 60 | 2017 |
Evolving fuzzy models of shape memory alloy wire actuators RCR Hedrea, EM Petriu Science and Technology 24 (4), 353-365, 2021 | 56 | 2021 |
Iterative feedback tuning algorithm for tower crane systems RC Roman, RE Precup, EL Hedrea, S Preitl, IA Zamfirache, ... Procedia Computer Science 199, 157-165, 2022 | 55 | 2022 |
Experiment-based approach to teach optimization techniques RE Precup, EL Hedrea, RC Roman, EM Petriu, AI Szedlak-Stinean, ... IEEE Transactions on Education 64 (2), 88-94, 2020 | 54 | 2020 |
Data-driven model-free adaptive control tuned by virtual reference feedback tuning RC Roman, MB Radac, RE Precup, EM Petriu Acta Polytechnica Hungarica 13 (1), 83-96, 2016 | 54 | 2016 |
Neural network-based control using actor-critic reinforcement learning and grey wolf optimizer with experimental servo system validation IA Zamfirache, RE Precup, RC Roman, EM Petriu Expert Systems with Applications 225, 120112, 2023 | 47 | 2023 |