| 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 | 65 | 2021 |
| 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 | 43 | 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 | 33 | 2021 |
| Deep residual neural network (ResNet)-based adaptive control: A Lyapunov-based approach OS Patil, DM Le, EJ Griffis, WE Dixon 2022 IEEE 61st Conference on Decision and Control (CDC), 3487-3492, 2022 | 15 | 2022 |
| Accelerated Gradient Approach For Neural Network Adaptive Control Of Nonlinear Systems DM Le, OS Patil, CF Nino, WE Dixon 2022 IEEE 61st Conference on Decision and Control (CDC), 3475-3480, 2022 | 5 | 2022 |
| Integral concurrent learning-based accelerated gradient adaptive control of uncertain Euler-Lagrange systems DM Le, OS Patil, PM Amy, WE Dixon 2022 American Control Conference (ACC), 806-811, 2022 | 5 | 2022 |
| Single-agent indirect herding of multiple targets using metric temporal logic switching DM Le, X Luo, LJ Bridgeman, MM Zavlanos, WE Dixon 2020 59th IEEE Conference on Decision and Control (CDC), 1398-1403, 2020 | 5 | 2020 |
| Closed-loop deep neural network-based FES control for human limb tracking EJ Griffis, DM Le, KJ Stubbs, WE Dixon 2021 60th IEEE Conference on Decision and Control (CDC), 360-365, 2021 | 3 | 2021 |
| A topologically inspired path-following method with intermittent state feedback SC Edwards, DM Le, DP Guralnik, WE Dixon IEEE Robotics and Automation Letters 6 (3), 4449-4456, 2021 | 3 | 2021 |
| Path following with stable and unstable modes subject to time-varying dwell-time conditions DM Le, HY Chen, AR Teel, WE Dixon IFAC-PapersOnLine 53 (2), 6440-6445, 2020 | 3 | 2020 |
| Accelerated Gradient Approach For Deep Neural Network-Based Adaptive Control of Unknown Nonlinear Systems DM Le, OS Patil, CF Nino, WE Dixon IEEE Transactions on Neural Networks and Learning Systems, 2024 | 1 | 2024 |
| Deep neural network-based adaptive FES-cycling control: A hybrid systems approach EJ Griffis, A Isaly, DM Le, WE Dixon 2022 IEEE 61st Conference on Decision and Control (CDC), 3262-3267, 2022 | 1 | 2022 |
| Lyapunov-Based Deep Residual Neural Network (ResNet) Adaptive Control OS Patil, DM Le, EJ Griffis, WE Dixon arXiv preprint arXiv:2404.07385, 2024 | | 2024 |
| Lyapunov-Based Deep Residual Neural Network (ResNet) Adaptive Control O Sudhir Patil, DM Le, EJ Griffis, WE Dixon arXiv e-prints, arXiv: 2404.07385, 2024 | | 2024 |
| A Switched System Dwell-time Update Mechanism For Path Following With Intermittent State Feedback Constraints DM Le, AR Teel, WE Dixon IEEE Transactions on Automatic Control, 2024 | | 2024 |
| Deep and Accelerated Learning in Adaptive Control: A Lyapunov-Based Approach DM Le University of Florida, 2022 | | 2022 |
Warren DixonDistinguished Professor, University of Florida在 ufl.edu 的电子邮件经过验证
