12 citations · 54 across the 18 of their papers we have counts for
5 papers · 1 filter
Safe Adaptive Learning-based Control for Constrained Linear Quadratic Regulators with Regret Guarantees
Yingying Li, Subhro Das, Jeff Shamma +1
We study the adaptive control of an unknown linear system with a quadratic cost function subject to safety constraints on both the states and actions. The challenges of this proble…
Leveraging Two-Stage Adaptive Robust Optimization for Power Flexibility Aggregation
Xin Chen, Na Li
Adaptive robust optimization (ARO) is a well-known technique to deal with the parameter uncertainty in optimization problems. While the ARO framework can actually be borrowed to so…
A Reliability-aware Multi-armed Bandit Approach to Learn and Select Users in Demand Response
Yingying Li, Qinran Hu, Na Li
One challenge in the optimization and control of societal systems is to handle the unknown and uncertain user behavior. This paper focuses on residential demand response (DR) and p…
Control Reconfiguration of Dynamical Systems for Improved Performance via Reverse- and Forward-engineering
Han Shu, Xuan Zhang, Na Li +1
This paper presents a control reconfiguration approach to improve the performance of two classes of dynamical systems. Motivated by recent research on re-engineering cyber-physical…
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach
Yingying Li, Yujie Tang, Runyu Zhang +1
This paper considers a distributed reinforcement learning problem for decentralized linear quadratic control with partial state observations and local costs. We propose a Zero-Orde…