Selected Publications
For an up-to-date publication list, please see my Google scholar page
* indicates equal contributions
Under Review & Preprints
\(\mathcal L_1\)Quad: \(\mathcal L_1\) adaptive augmentation of geometric control for agile quadrotors with performance guarantees
Z. Wu, S. Cheng, P. Zhao, A. Gahlawat, K. Ackerman, A. Lakshmanan, C. Yang, J. Yu, and N. Hovakimyan
Submitted, 2023
[Video] [ArXiv]
Robust adaptive control of linear parameter-varying systems with unmatched uncertainties
P. Zhao, S. Snyder, N. Hovakimyan, and C. Cao
Submitted, 2021
[ArXiv]
Guaranteed nonlinear tracking in the presence of DNN-learned dynamics with contraction metrics and disturbance estimation
P. Zhao, Z. Guo, Y. Cheng, A. Gahlawat, H. Kang, and N. Hovakimyan
arXiv preprint arXiv: 2112.08222, 2022
Journal Papers
Convex synthesis of control barrier functions under input constraints
P. Zhao, R. Ghabcheloo, Y. Cheng, H. Abdi, and N. Hovakimyan
IEEE Control System Letters, vol.7, pp.3102-3107, 2023
[Code]
Integrated adaptive control and reference governors for constrained systems with state-dependent uncertainties
P. Zhao, I. Kolmanovsky, and N. Hovakimyan
IEEE Transactions on Automatic Control, conditionally accepted, 2023
[ArXiv]
\(\mathcal L_1\) adaptive control with switched reference models: Application to Learn-to-Fly
S. Snyder, P. Zhao and N. Hovakimyan
Journal of Guidance, Control, and Dynamics, 45(12): 2229-2242, 2022
[Video]
Tube-certified trajectory tracking for nonlinear systems with robust control contraction metrics
P. Zhao, A. Lakshmanan, K. Ackerman, A. Gahlawat, M. Pavone, and N. Hovakimyan
IEEE Robotics and Automation Letters, 7(2): 5528-5535, 2022
[ArXiv] [Video] [Code]
Improving the robustness of reinforcement learning policies with \(\mathcal L_1\) adaptive control
Y. Cheng* , P. Zhao*, F. Wang, D. J. Block, and N. Hovakimyan
IEEE Robotics and Automation Letters, 7(3): 6574-6581, 2022
[ArXiv] [Video]
Robust nonlinear tracking control with exponential
convergence using contraction metrics and disturbance estimation
P. Zhao, Z. Guo, and N. Hovakimyan
Sensors, 22(13): 4743, 2022
Adaptive control for linear parameter-varying systems with application to a VTOL aircraft
S. Snyder, P. Zhao and N. Hovakimyan
Aerospace Science and Technology, 112: 106621, 2021
Novel stealthy attack and defense strategies for networked control systems
Y. Mao, H. Jafarnejadsani, P. Zhao, E. Akyol and N. Hovakimyan
IEEE Transactions on Automatic Control, 65(9): 3847-3862, 2020
Experimental validation of a robust \(H_\infty\) control method on miniaturized optical image stabilizer prototypes
A. Alizadegan, P. Zhao, R. Nagamune and M. Chiao
Journal of Dynamic Systems, Measurement, and Control, 142(12): 124501, 2020
Switching linear parameter-varying control with improved local performance and optimized switching surfaces
P. Zhao and R. Nagamune
International Journal of Robust and Nonlinear Control, 28: 3403-3421, 2018
Multiple parameter-dependent robust control of miniaturized optical image stabilizers
P. Zhao, R. Nagamune and M. Chiao
Control Engineering Practice, 76: 1-11, 2018
Robust \(H_\infty\) control of miniaturized optical image stabilizers against product variabilities
A. Alizadegan, P. Zhao, R. Nagamune and M. Chiao
Control Engineering Practice, 80: 70-82, 2018
Switching LPV controller design under uncertain scheduling parameters
P. Zhao and R. Nagamune
Automatica, 2017, 76: 243-250
Adaptive fuzzy torque control of passive torque servo systems based on small gain theorem and input-to-state stability
X. Wang, S. Wang, P. Zhao
Chinese Journal of Aeronautics, 25(6): 906-916, 2012
Book chapter
Design, fabrication, and robust control of miniaturized optical image stabilizers
K. Yuan, A. Alizadegan, P. Zhao, R. Nagamune, J. Chu, S. Park and M. Chiao
Advanced Mechatronics and MEMS Devices-II, Dan Zhang and Bin Wei (eds.), Springer International Publishing Switzerland, Chapter 28, pp. 189-207, 2017.
Conference Papers
Optimizing Crop management with reinforcement learning and imitation learning
R. Tao, P. Zhao, J. Wu, N. F. Martin, M. T. Harrison, C. Ferreira, Z. Kalantari, and N. Hovakimyan
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI-23), 2023
Safe and efficient reinforcement learning using disturbance observer-based control barrier functions
Y. Cheng, P. Zhao, and N. Hovakimyan
5th Conference on Learning for Dynamics and Control, PMLR, 211:104-115, 2023
Safety embedded stochastic optimal control of networked multi-agent systems
L. Song, P. Zhao, N. Wan and N. Hovakimyan
2023 American Control Conference, 2023
Optimizing nitrogen management with deep reinforcement learning and crop simulations
J. Wu*, R. Tao*, P. Zhao*, N. Martin and N. Hovakimyan
Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 1712-1720, 2022
[ArXiv]
\(\mathcal L_1\) adaptive augmentation for geometric tracking control of quadrotors
Z. Wu, C. Sheng, K. A. Ackerman, A. Gahlawat, A. Lakshmanan, P. Zhao, and N. Hovakimyan
IEEE Conference on Robotics and Automation, 2022.
[ArXiv] [Video]
Adaptive robust quadratic programs using control Lyapunov and barrier functions
P. Zhao, Y. Mao, C. Tao, N. Hovakimyan and X. Wang
Proceedings of the 59th IEEE Conference on Decision and Control, pp. 3353-3358, 2020
[ArXiv]
\(\mathcal L_1\)-GP: \(\mathcal L_1\) adaptive control with Bayesian learning
A. Gahlawat, P. Zhao, A. Patterson, N. Hovakimyan and E. A. Theodorou
2nd Conference on Learning for Dynamics and Control, PMLR, 120:1-12, 2020
\(\mathcal L_1\) adaptive control for switching reference systems: Application to flight control
S. Snyder, P. Zhao and N. Hovakimyan
IFAC-PapersOnLine, 52(16), pp.718-723, 2019.
Detectability of intermittent zero-dynamics attack in networked control systems
Y. Mao, H. Jafarnejadsani, P. Zhao, E. Akyol and N. Hovakimyan
Proceedings of the 58th IEEE Conference on Decision and Control, pp. 5605-5610, 2019.
Switching LPV control of a floating offshore wind turbine on a semi-submersible platform
P. Zhao and R. Nagamune
Proceedings of IEEE 28th International Symposium on Industrial Electronics, pp. 664-669, 2019
Discrete-time state-feedback switching LPV Control with seperate Lyapunov functions for stability and local performance
P. Zhao and R. Nagamune
Proceedings of American Control Conference, pp. 2023-2028, 2018
Optimal switching surface design for switching LPV control and its application to air-fuel ratio control of an automotive engine
P. Zhao and R. Nagamune
Proceedings of IEEE Conference on Control Technology and Applications (CCTA), pp. 898-903, 2017
Optimal switching surface design for state-feedback switching LPV control
P. Zhao and R. Nagamune
Proceedings of American Control Conference, pp. 817-822, 2015
Robust control of large-scale prototypes for miniaturized optical image stabilizers with product variations
P. Zhao, A. Alizadegan, R. Nagamune and M. Chiao
Proceedings of SICE Annual Conference, pp. 925-930, 2015
Modeling and robust control of miniaturized magnetically-actuated optical image stabilizers
A. Alizadegan, P. Zhao, R. Nagamune and M. Chiao
Proceedings of IEEE International Conference on Advanced Intelligent Mechatronics, pp. 846-851, 2016
Workshop Papers & Extended Abstracts
Optimizing crop management with reinforcement learning and imitation learning
R. Tao, P. Zhao, J. Wu, N. F. Martin, M. T. Harrison, C. Ferreira, Z. Kalantari, and N. Hovakimyan
22nd International Conference on Autonomous Agents and Multiagent Systems
(AAMAS), 2023
Robustifying reinforcement learning policies with \(\mathcal L_1\) adaptive control
Y. Cheng*, P. Zhao*, M. Gandhi, B. Li, E. Theodorou and N. Hovakimyan
ICRA Workshop on Safe Robot Control with Learned Motion and Environment Models, 2021
Socially aware motion planning for a flying robot with model predictive path integral control
H.-J. Yoon, P. Zhao, C. Tao, C. Widdowson, R. Wang, N. Hovakimyan and E. Theodorou
ICRA Workshop on Algorithms and Architectures for Learning-in-the-Loop Systems in Autonomous Flight workshop, 2019
Guaranteed nonlinear control with DNN-learned dynamics using robust contraction metrics and disturbance estimation
P. Zhao, Z. Guo, Y. Cheng and N. Hovakimyan
AAAI Workshop on Trustworthy Autonomous Systems Engineering, 2022
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