21 citations · 103 across the 19 of their papers we have counts for
6 papers · 1 filter
Stable Online Control of Linear Time-Varying Systems
Guannan Qu, Yuanyuan Shi, Sahin Lale +2
Linear time-varying (LTV) systems are widely used for modeling real-world dynamical systems due to their generality and simplicity. Providing stability guarantees for LTV systems i…
Multi-Agent Reinforcement Learning in Cournot Games
Yuanyuan Shi, Baosen Zhang
In this work, we study the interaction of strategic agents in continuous action Cournot games with limited information feedback. Cournot game is the essential market model for many…
Input Convex Neural Networks for Optimal Voltage Regulation
Yize Chen, Yuanyuan Shi, Baosen Zhang
The increasing penetration of renewables in distribution networks calls for faster and more advanced voltage regulation strategies. A promising approach is to formulate the problem…
Optimal Control Via Neural Networks: A Convex Approach
Yize Chen, Yuanyuan Shi, Baosen Zhang
Control of complex systems involves both system identification and controller design. Deep neural networks have proven to be successful in many identification tasks, however, from…
Modeling and Optimization of Complex Building Energy Systems with Deep Neural Networks
Yize Chen, Yuanyuan Shi, Baosen Zhang
Modern buildings encompass complex dynamics of multiple electrical, mechanical, and control systems. One of the biggest hurdles in applying conventional model-based optimization an…
Optimal Regulation Response of Batteries Under Cycle Aging Mechanisms
Bolun Xu, Yuanyuan Shi, Daniel S. Kirschen +1
When providing frequency regulation in a pay-for-performance market, batteries need to carefully balance the trade-off between following regulation signals and their degradation co…