Yuanyuan Shi
Yuanyuan Shi
Assistant Professor, UCSD
Потвърден имейл адрес: ucsd.edu - Начална страница
Using battery storage for peak shaving and frequency regulation: Joint optimization for superlinear gains
Y Shi, B Xu, D Wang, B Zhang
IEEE transactions on power systems 33 (3), 2882-2894, 2017
Optimal control via neural networks: A convex approach
Y Chen, Y Shi, B Zhang
International Conference on Learning Representations (ICLR 2019), 2018
Optimal battery participation in frequency regulation markets
B Xu, Y Shi, DS Kirschen, B Zhang
IEEE Transactions on Power Systems 33 (6), 6715-6725, 2018
Optimal battery control under cycle aging mechanisms in pay for performance settings
Y Shi, B Xu, Y Tan, D Kirschen, B Zhang
IEEE Transactions on Automatic Control 64 (6), 2324-2339, 2018
Robust reinforcement learning for continuous control with model misspecification
DJ Mankowitz, N Levine, R Jeong, Y Shi, J Kay, A Abdolmaleki, ...
International Conference on Learning Representations (ICLR 2020), 2019
A convex cycle-based degradation model for battery energy storage planning and operation
Y Shi, B Xu, Y Tan, B Zhang
2018 Annual American control conference (ACC), 4590-4596, 2018
A practical end-to-end inventory management model with deep learning
M Qi, Y Shi, Y Qi, C Ma, R Yuan, D Wu, ZJM Shen
Available at SSRN 3737780, 2020
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds
Y Huang, H Zhang, Y Shi, JZ Kolter, A Anandkumar
Advances in Neural Information Processing Systems 34 (2021)., 2021
Data-driven optimal voltage regulation using input convex neural networks
Y Chen, Y Shi, B Zhang
Electric Power Systems Research 189, 106741, 2020
Leveraging energy storage to optimize data center electricity cost in emerging power markets
Y Shi, B Xu, B Zhang, D Wang
Proceedings of the Seventh International Conference on Future Energy Systems …, 2016
Modeling and optimization of complex building energy systems with deep neural networks
Y Chen, Y Shi, B Zhang
2017 51st Asilomar Conference on Signals, Systems, and Computers, 1368-1373, 2017
Stability constrained reinforcement learning for real-time voltage control
Y Shi, G Qu, S Low, A Anandkumar, A Wierman
2022 American Control Conference (ACC), 2715-2721, 2022
A balanced heuristic mechanism for multirobot task allocation of intelligent warehouses
L Zhou, Y Shi, J Wang, P Yang
Mathematical Problems in Engineering 2014 (1), 380480, 2014
Stable and Efficient Shapley Value-Based Reward Reallocation for Multi-Agent Reinforcement Learning of Autonomous Vehicles
S Han, H Wang, S Su, Y Shi, F Miao
IEEE International Conference on Robotics and Automation, 2022
Optimal regulation response of batteries under cycle aging mechanisms
B Xu, Y Shi, DS Kirschen, B Zhang
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 751-756, 2017
Safe reinforcement learning of control-affine systems with vertex networks
L Zheng, Y Shi, LJ Ratliff, B Zhang
Learning for Dynamics and Control, 336-347, 2021
Neural operators for bypassing gain and control computations in pde backstepping
L Bhan, Y Shi, M Krstic
IEEE Transactions on Automatic Control, 2023
Carbon-aware ev charging
KW Cheng, Y Bian, Y Shi, Y Chen
2022 IEEE International Conference on Communications, Control, and Computing …, 2022
Neural operators of backstepping controller and observer gain functions for reaction–diffusion PDEs
M Krstic, L Bhan, Y Shi
Automatica 164, 111649, 2024
Operator learning for nonlinear adaptive control
L Bhan, Y Shi, M Krstic
Learning for Dynamics and Control Conference, 346-357, 2023
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