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 |
Development of a robust deep recurrent neural network controller for flight applications SA Nivison, PP Khargonekar 2017 American Control Conference (ACC), 5336-5342, 2017 | 21 | 2017 |
A sparse neural network approach to model reference adaptive control with hypersonic flight applications SA Nivison, P Khargonekar 2018 AIAA Guidance, Navigation, and Control Conference, 0842, 2018 | 20 | 2018 |
Improving long-term learning of model reference adaptive controllers for flight applications: A sparse neural network approach SA Nivison, P Khargonekar AIAA Guidance, Navigation, and Control Conference, 1249, 2017 | 18 | 2017 |
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 | 15 | 2023 |
Safe model-based reinforcement learning for systems with parametric uncertainties SMN Mahmud, SA Nivison, ZI Bell, R Kamalapurkar Frontiers in Robotics and AI 8, 733104, 2021 | 13 | 2021 |
A safety aware model-based reinforcement learning framework for systems with uncertainties SMN Mahmud, K Hareland, SA Nivison, ZI Bell, R Kamalapurkar 2021 American Control Conference (ACC), 1979-1984, 2021 | 11 | 2021 |
Target tracking subject to intermittent measurements using attention deep neural networks ZI Bell, R Sun, K Volle, P Ganesh, SA Nivison, WE Dixon IEEE Control Systems Letters 7, 379-384, 2022 | 7 | 2022 |
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 |
Robust and adaptive control of a rocket boosted missile B Dickinson, S Nivison, A Hart, C Hung, B Bialy, S Stockbridge 2015 American Control Conference (ACC), 2520-2532, 2015 | 5 | 2015 |
A zeroth-order momentum method for risk-averse online convex games Z Wang, Y Shen, ZI Bell, S Nivison, MM Zavlanos, KH Johansson 2022 IEEE 61st Conference on Decision and Control (CDC), 5179-5184, 2022 | 4 | 2022 |
Asynchronous zeroth-order distributed optimization with residual feedback Y Shen, Y Zhang, S Nivison, ZI Bell, MM Zavlanos 2021 60th IEEE Conference on Decision and Control (CDC), 3349-3354, 2021 | 4 | 2021 |
Safety aware model-based reinforcement learning for optimal control of a class of output-feedback nonlinear systems SM Mahmud, M Abudia, SA Nivison, ZI Bell, R Kamalapurkar arXiv preprint arXiv:2110.00271, 2021 | 4 | 2021 |
Development of a robust, sparsely-activated, and deep recurrent neural network controller for flight applications SA Nivison, PP Khargonekar 2018 IEEE Conference on Decision and Control (CDC), 384-390, 2018 | 3 | 2018 |
Data-Driven Retrospective Cost Adaptive Control of a Quadrotor UAV BY Lai, SAU Islam, S Nivison, DS Bernstein AIAA SCITECH 2023 Forum, 0694, 2023 | 2 | 2023 |
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 |
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 |
Multi-agent collaboration in an adversarial turret reconnaissance task R Fernandez, A Basak, B Howell, C Hsu, E Zaroukian, J Perret, J Humann, ... Intelligent Human Systems Integration 2021: Proceedings of the 4th …, 2021 | 2 | 2021 |
Sparse and deep learning-based nonlinear control design with hypersonic flight applications SA Nivison University of Florida, 2017 | 2 | 2017 |
Passivity-Based Target Tracking Robust to Intermittent Measurements MJ McCourt, ZI Bell, SA Nivison 2022 American Control Conference (ACC), 1626-1631, 2022 | 1 | 2022 |