| 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 | 29 | 2021 |
| Adaptive safety with multiple barrier functions using integral concurrent learning A Isaly, OS Patil, RG Sanfelice, WE Dixon 2021 American Control Conference (ACC), 3719-3724, 2021 | 24 | 2021 |
| Exponential stability with RISE controllers OS Patil, A Isaly, B Xian, WE Dixon IEEE Control Systems Letters 6, 1592-1597, 2021 | 15 | 2021 |
| Adaptive control of time-varying parameter systems with asymptotic tracking OS Patil, R Sun, S Bhasin, WE Dixon IEEE Transactions on Automatic Control 67 (9), 4809-4815, 2022 | 13 | 2022 |
| 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 | 12 | 2022 |
| A singularity-free hierarchical nonlinear quad-rotorcraft control using saturation and barrier lyapunov function R Dasgupta, SB Roy, OS Patil, S Bhasin 2019 American Control Conference (ACC), 3075-3080, 2019 | 12 | 2019 |
| 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 | 6 | 2023 |
| 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 |
| 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 |
| 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 | | 2024 |
| Lyapunov-Based Deep Residual Neural Network (ResNet) Adaptive Control OS Patil, DM Le, EJ Griffis, WE Dixon arXiv preprint arXiv:2404.07385, 2024 | | 2024 |
| Adaptive Safety with a RISE-Based Disturbance Observer A Isaly, OS Patil, HM Sweatland, RG Sanfelice, WE Dixon IEEE Transactions on Automatic Control, 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 |
| Deep Adaptive Indirect Herding of Multiple Target Agents with Unknown Interaction Dynamics CF Nino, OS Patil, JN Philor, ZI Bell, WE Dixon 2023 62nd IEEE Conference on Decision and Control (CDC), 2509-2514, 2023 | | 2023 |
| Second-Order Heterogeneous Multi-Agent Target Tracking Without Relative Velocities CF Nino, OS Patil, WE Dixon IEEE Control Systems Letters, 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 |
| Lyapunov-Based Dropout Deep Neural Network (Lb-DDNN) Controller S Akbari, EJ Griffis, OS Patil, WE Dixon arXiv preprint arXiv:2310.19938, 2023 | | 2023 |
Warren DixonUniversity of FloridaVerified email at ufl.edu
