Switching LPV controller design under uncertain scheduling parameters P Zhao, R Nagamune Automatica 76, 243-250, 2017 | 63 | 2017 |
L1-GP: L1 adaptive control with Bayesian learning A Gahlawat, P Zhao, A Patterson, N Hovakimyan, E Theodorou Learning for dynamics and control, 826-837, 2020 | 55 | 2020 |
Novel stealthy attack and defense strategies for networked control systems Y Mao, H Jafarnejadsani, P Zhao, E Akyol, N Hovakimyan IEEE Transactions on Automatic Control 65 (9), 3847-3862, 2020 | 46 | 2020 |
Optimizing nitrogen management with deep reinforcement learning and crop simulations J Wu, R Tao, P Zhao, NF Martin, N Hovakimyan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 41 | 2022 |
Adaptive robust quadratic programs using control Lyapunov and barrier functions P Zhao, Y Mao, C Tao, N Hovakimyan, X Wang 2020 59th IEEE Conference on Decision and Control (CDC), 3353-3358, 2020 | 40 | 2020 |
Tube-certified trajectory tracking for nonlinear systems with robust control contraction metrics P Zhao, A Lakshmanan, K Ackerman, A Gahlawat, M Pavone, ... IEEE Robotics and Automation Letters 7 (2), 5528-5535, 2022 | 36 | 2022 |
Adaptive fuzzy torque control of passive torque servo systems based on small gain theorem and input-to-state stability W Xingjian, W Shaoping, Z Pan Chinese Journal of Aeronautics 25 (6), 906-916, 2012 | 30 | 2012 |
L1Adaptive Augmentation for Geometric Tracking Control of Quadrotors Z Wu, S Cheng, KA Ackerman, A Gahlawat, A Lakshmanan, P Zhao, ... 2022 International Conference on Robotics and Automation (ICRA), 1329-1336, 2022 | 27 | 2022 |
Adaptive control for linear parameter-varying systems with application to a VTOL aircraft S Snyder, P Zhao, N Hovakimyan Aerospace Science and Technology 112, 106621, 2021 | 20 | 2021 |
Optimizing crop management with reinforcement learning and imitation learning R Tao, P Zhao, J Wu, NF Martin, MT Harrison, C Ferreira, Z Kalantari, ... arXiv preprint arXiv:2209.09991, 2022 | 17 | 2022 |
Improving the Robustness of Reinforcement Learning Policies With Adaptive Control Y Cheng, P Zhao, F Wang, DJ Block, N Hovakimyan IEEE Robotics and Automation Letters 7 (3), 6574-6581, 2022 | 17 | 2022 |
Robust Adaptive Control of Linear Parameter-Varying Systems with Unmatched Uncertainties P Zhao, S Snyder, N Hovakimyana, C Cao arXiv e-prints, arXiv: 2010.04600, 2020 | 17* | 2020 |
Switching LPV control of a floating offshore wind turbine on a semi-submersible platform P Zhao, R Nagamune 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE), 664-669, 2019 | 13 | 2019 |
Switching linear parameter‐varying control with improved local performance and optimized switching surfaces P Zhao, R Nagamune International Journal of Robust and Nonlinear Control 28 (10), 3403-3421, 2018 | 13 | 2018 |
Robust H∞ control of miniaturized optical image stabilizers against product variabilities A Alizadegan, P Zhao, R Nagamune, M Chiao Control Engineering Practice 80, 70-82, 2018 | 12 | 2018 |
Optimal switching surface design for state-feedback switching LPV control P Zhao, R Nagamune 2015 American control conference (ACC), 817-822, 2015 | 12 | 2015 |
The new agronomists: Language models are experts in crop management J Wu, Z Lai, S Chen, R Tao, P Zhao, N Hovakimyan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 9 | 2024 |
Convex synthesis of control barrier functions under input constraints P Zhao, R Ghabcheloo, Y Cheng, H Abdi, N Hovakimyan IEEE Control Systems Letters, 2023 | 9 | 2023 |
Safe and efficient reinforcement learning using disturbance-observer-based control barrier functions Y Cheng, P Zhao, N Hovakimyan Learning for Dynamics and Control Conference, 104-115, 2023 | 8 | 2023 |
Discrete-time state-feedback switching LPV control with separate Lyapunov functions for stability and local performance P Zhao, R Nagamune 2018 annual American control conference (ACC), 2023-2028, 2018 | 8 | 2018 |