| Lyapunov-based real-time and iterative adjustment of deep neural networks R Sun, ML Greene, DM Le, ZI Bell, G Chowdhary, WE Dixon IEEE Control Systems Letters 6, 193-198, 2021 | 52 | 2021 |
| Sparse Learning-Based Approximate Dynamic Programming With Barrier Constraints ML Greene, P Deptula, S Nivison, WE Dixon IEEE Control Systems Letters 4 (3), 743-748, 2020 | 33 | 2020 |
| Lyapunov-Derived Control and Adaptive Update Laws for Inner and Outer Layer Weights of a Deep Neural Network OS Patil, DM Le, ML Greene, WE Dixon IEEE Control Systems Letters 6, 1855-1860, 2021 | 28 | 2021 |
| Real-time modular deep neural network-based adaptive control of nonlinear systems DM Le, ML Greene, WA Makumi, WE Dixon IEEE Control Systems Letters 6, 476-481, 2021 | 22 | 2021 |
| Deep Neural Network-based Approximate Optimal Tracking for Unknown Nonlinear Systems ML Greene, ZI Bell, S Nivison, WE Dixon IEEE Transactions on Automatic Control, 2023 | 14 | 2023 |
| Model-Based Reinforcement Learning for Optimal Feedback Control of Switched Systems ML Greene, M Abudia, R Kamalapurkar, WE Dixon 2020 59th IEEE Conference on Decision and Control (CDC), 162-167, 2020 | 7 | 2020 |
| Reinforcement Learning with Sparse Bellman Error Extrapolation for Infinite-Horizon Approximate Optimal Regulation ML Greene, P Deptula, S Nivison, WE Dixon 2019 IEEE 58th Conference on Decision and Control (CDC), 1959-1964, 2019 | 6 | 2019 |
| Model-Based Approximate Optimal Feedback Control of a Hypersonic Vehicle ML Greene, P Deptula, B Bialy, W Dixon AIAA SCITECH 2022 Forum, 0613, 2022 | 4 | 2022 |
| Simultaneous Trajectory Tracking Control and Online Mass Estimation for a Regolith Excavating Robot via Integral Concurrent Learning ML Greene, M DuPuis, J Cloud, WE Dixon AIAA Scitech 2021 Forum, 1131, 2021 | 3 | 2021 |
| Approximate Optimal Trajectory Tracking with Sparse Bellman Error Extrapolation ML Greene, P Deptula, S Nivison, WE Dixon IEEE Transactions on Automatic Control, 2022 | 2 | 2022 |
| Deep Neural Network Real-Time Control of a Motorized Functional Electrical Stimulation Cycle With an Uncertain Time-Varying Electromechanical Delay HM Sweatland, BC Allen, ML Greene, WE Dixon ASME International Mechanical Engineering Congress and Exposition 85611 …, 2021 | 2 | 2021 |
| Cooperative Model-Based Reinforcement Learning for Approximate Optimal Tracking ML Greene, ZI Bell, SA Nivison, JP How, WE Dixon 2021 American Control Conference (ACC), 1973-1978, 2021 | 2 | 2021 |
| Mixed Density Methods for Approximate Dynamic Programming ML Greene, P Deptula, R Kamalapurkar, WE Dixon Handbook of Reinforcement Learning and Control, 139-172, 2021 | 2 | 2021 |
| Hierarchical Reinforcement Learning and Gain Scheduling-based Control of a Hypersonic Vehicle W Makumi, ML Greene, Z Bell, B Bialy, R Kamalapurkar, W Dixon AIAA SCITECH 2023 Forum, 2505, 2023 | 1 | 2023 |
| Model-based switched approximate dynamic programming for functional electrical stimulation cycling WA Makumi, ML Greene, KJ Stubbs, WE Dixon 2022 American Control Conference (ACC), 4353-4358, 2022 | 1 | 2022 |
| NONSMOOTH DATA-BASED REINFORCEMENT LEARNING FOR ONLINE APPROXIMATE OPTIMAL CONTROL MAXL GREENE UNIVERSITY OF FLORIDA, 2022 | 1 | 2022 |
| Approximate Optimal Orbit Transfer of Non-cooperative Debris ML Greene, C Riano-Rios, R Bevilacqua, NG Fitz-Coy, W Dixon AIAA Scitech 2020 Forum, 1823, 2020 | 1 | 2020 |
| Online Data-Driven Safety Certification for Systems Subject to Unknown Disturbances N Rober, K Mahesh, TM Paine, ML Greene, S Lee, ST Monteiro, ... arXiv preprint arXiv:2310.19256, 2023 | | 2023 |
| Hierarchical Reinforcement Learning-based Supervisory Control of Unknown Nonlinear Systems WA Makumi, ML Greene, ZI Bell, S Nivison, R Kamalapurkar, WE Dixon IFAC-PapersOnLine 56 (2), 6871-6876, 2023 | | 2023 |
| Deep Neural Network Real-Time Control of a Motorized FES Cycle with an Uncertain Time-Varying Electromechanical Delay HM Sweatland, BC Allen, ML Greene, WE Dixon ASME International Mechanical Engineering Congress and Exposition (IMECE), 2021 | | 2021 |
Warren DixonUniversity of FloridaΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα ufl.edu
