Pan Zhao
Orcid: 0000-0001-9349-1125Affiliations:
- University of British Columbia, Department of Mechanical Engineering, Vancouver, BC, Canada
According to our database1,
Pan Zhao
authored at least 35 papers
between 2015 and 2024.
Collaborative distances:
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Bibliography
2024
Guaranteed Trajectory Tracking under Learned Dynamics with Contraction Metrics and Disturbance Estimation.
Robotics, July, 2024
Integrated Adaptive Control and Reference Governors for Constrained Systems With State-Dependent Uncertainties.
IEEE Trans. Autom. Control., May, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the American Control Conference, 2024
Model Predictive Control Barrier Functions: Guaranteed Safety with Reduced Conservatism and Shortened Horizon.
Proceedings of the American Control Conference, 2024
2023
IEEE Control. Syst. Lett., 2023
Ls<sub>1</sub>Quad: L<sub>1</sub> Adaptive Augmentation of Geometric Control for Agile Quadrotors with Performance Guarantees.
CoRR, 2023
Safe and Efficient Reinforcement Learning using Disturbance-Observer-Based Control Barrier Functions.
Proceedings of the Learning for Dynamics and Control Conference, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Verification of ℒ<sub>1</sub> Adaptive Control using Verse Library: A Case Study of Quadrotors.
Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems, 2023
Safety Embedded Stochastic Optimal Control of Networked Multi-Agent Systems via Barrier States.
Proceedings of the American Control Conference, 2023
2022
Robust Nonlinear Tracking Control with Exponential Convergence Using Contraction Metrics and Disturbance Estimation.
Sensors, 2022
Tube-Certified Trajectory Tracking for Nonlinear Systems With Robust Control Contraction Metrics.
IEEE Robotics Autom. Lett., 2022
Improving the Robustness of Reinforcement Learning Policies With ${\mathcal {L}_{1}}$ Adaptive Control.
IEEE Robotics Autom. Lett., 2022
Safe Model-Free Reinforcement Learning using Disturbance-Observer-Based Control Barrier Functions.
CoRR, 2022
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Optimizing Nitrogen Management with Deep Reinforcement Learning and Crop Simulations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
2021
CoRR, 2021
Improving the Robustness of Reinforcement Learning Policies with L<sub>1</sub> Adaptive Control.
CoRR, 2021
CoRR, 2021
L<sub>1</sub> Adaptive Control for Switching Reference Systems: Application to Flight Control.
CoRR, 2021
2020
IEEE Trans. Autom. Control., 2020
CoRR, 2020
$\mathcal{L}_1$-$\mathcal{GP}$: $\mathcal{L}_1$ Adaptive Control with Bayesian Learning.
CoRR, 2020
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
2019
Switching LPV Control of a Floating Offshore Wind Turbine on a Semi-Submersible Platform.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
Discrete-Time State-Feedback Switching LPV Control with Separate Lyapunov Functions for Stability and Local Performance.
Proceedings of the 2018 Annual American Control Conference, 2018
2017
Optimal switching surface design for switching LPV control and its application to air-fuel ratio control of an automotive engine.
Proceedings of the IEEE Conference on Control Technology and Applications, 2017
2016
Modeling and robust control of miniaturized magnetically-actuated optical image stabilizers.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2016
2015
Proceedings of the American Control Conference, 2015