| 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 | 11 | 2022 |
| Lyapunov-based long short-term memory (Lb-LSTM) neural network-based control EJ Griffis, OS Patil, ZI Bell, WE Dixon IEEE Control Systems Letters, 2023 | 5 | 2023 |
| 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 |
| Deep recurrent neural network-based observer for uncertain nonlinear systems EJ Griffis, OS Patil, WA Makumi, WE Dixon IFAC-PapersOnLine 56 (2), 6851-6856, 2023 | 2 | 2023 |
| Lyapunov-Based Physics-Informed Long Short-Term Memory (LSTM) Neural Network-Based Adaptive Control RG Hart, EJ Griffis, OS Patil, WE Dixon IEEE Control Systems Letters, 2023 | 1 | 2023 |
| Deep Lyapunov-based physics-informed neural networks (DeLb-PINN) for adaptive control design RG Hart, OS Patil, EJ Griffis, WE Dixon 2023 62nd IEEE Conference on Decision and Control (CDC), 1511-1516, 2023 | 1 | 2023 |
| 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 |
| Method, apparatus, and system for motorized rehabilitative cycling WE Dixon, KJ Stubbs, EJ Griffis, WA Makumi, HM Sweatland, ... US Patent App. 18/361,276, 2024 | | 2024 |
| Lyapunov-Based Long Short-Term Memory (Lb-LSTM) Neural Network-Based Adaptive Observer EJ Griffis, OS Patil, RG Hart, WE Dixon IEEE Control Systems Letters, 2023 | | 2023 |
| Passivity-Based Hybrid Systems Approach to Repetitive Learning Control for FES-Cycling with Control Input Saturation HM Sweatland, EJ Griffis, VH Duenas, WE Dixon 2023 62nd IEEE Conference on Decision and Control (CDC), 727-732, 2023 | | 2023 |
| Composite Adaptive Lyapunov-Based Deep Neural Network (Lb-DNN) Controller OS Patil, EJ Griffis, WA Makumi, WE Dixon arXiv preprint arXiv:2311.13056, 2023 | | 2023 |
| Composite Adaptive Lyapunov-Based Deep Neural Network (Lb-DNN) Controller O Sudhir Patil, EJ Griffis, WA Makumi, WE Dixon arXiv e-prints, arXiv: 2311.13056, 2023 | | 2023 |
| Lyapunov-Based Dropout Deep Neural Network (Lb-DDNN) Controller S Akbari, EJ Griffis, OS Patil, WE Dixon arXiv preprint arXiv:2310.19938, 2023 | | 2023 |
| Control Barrier Functions for Safe Admittance Control of a Rehabilitation Cycle for DMD EJ Griffis, WA Makumi, HM Sweatland, KJ Stubbs, T Taivassalo, DJ Lott, ... 2022 IEEE Conference on Control Technology and Applications (CCTA), 1074-1079, 2022 | | 2022 |
Warren DixonUniversity of FloridaVerified email at ufl.edu
