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Pan Zhao
Pan Zhao
Assistant Professor, University of Alabama
Dirección de correo verificada de ua.edu - Página principal
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Año
Switching LPV controller design under uncertain scheduling parameters
P Zhao, R Nagamune
Automatica 76, 243-250, 2017
642017
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
502020
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
422020
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
382022
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
382020
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
302022
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
302012
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
222022
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
192021
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
172020
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
162022
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
152022
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
132018
Optimal switching surface design for state-feedback switching LPV control
P Zhao, R Nagamune
2015 American control conference (ACC), 817-822, 2015
132015
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
122018
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
112019
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
82018
Optimal switching surface design for switching LPV control and its application to air-fuel ratio control of an automotive engine
P Zhao, R Nagamune
2017 IEEE Conference on Control Technology and Applications (CCTA), 898-903, 2017
82017
Robust control of large-scale prototypes for miniaturized optical image stabilizers with product variations
P Zhao, A Alizadegan, R Nagamune, M Chiao
2015 54th Annual Conference of the Society of Instrument and Control …, 2015
82015
A novel method of parameter identification of nonlinear electrohydraulic servo systems
P Zhao, S Wang, X Li, B Zhang
Proceedings of 2011 International Conference on Fluid Power and Mechatronics …, 2011
82011
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20