1 citations · 1 across the 3 of their papers we have counts for
7 papers
Efficient Reinforcement Learning Through Trajectory Generation
Wenqi Cui, Linbin Huang, Weiwei Yang +1
A key barrier to using reinforcement learning (RL) in many real-world applications is the requirement of a large number of system interactions to learn a good control policy. Off-p…
Robust Data-Enabled Predictive Control: Tractable Formulations and Performance Guarantees
Linbin Huang, Jianzhe Zhen, John Lygeros +1
We introduce a general framework for robust data-enabled predictive control (DeePC) for linear time-invariant (LTI) systems. The proposed framework enables us to obtain model-free…
Nodal Frequency Performance of Power Networks
Huisheng Gao, Hui Yuan, Huanhai Xin +2
This paper investigates how a disturbance in the power network affects the nodal frequencies of certain network buses. To begin with, we show that the inertia of a single generator…
Generalized Short Circuit Ratio for Grid Strength Assessment in Inhomogeneous Multi-infeed LCC-HVDC Systems
Guanzhong Wang, Huanhai Xin, Di Wu +3
Generalized short circuit ratio (gSCR) for gird strength assessment of multi-infeed high voltage direct current (MIDC) systems is a rigorous theoretical extension of traditional sh…
Quadratic Regularization of Data-Enabled Predictive Control: Theory and Application to Power Converter Experiments
Linbin Huang, Jianzhe Zhen, John Lygeros +1
Data-driven control that circumvents the process of system identification by providing optimal control inputs directly from system data has attracted renewed attention in recent ye…
Placing Grid-Forming Converters to Enhance Small Signal Stability of PLL-Integrated Power Systems
Chaoran Yang, Linbin Huang, Huanhai Xin +1
The modern power grid features the high penetration of power converters, which widely employ a phase-locked loop (PLL) for grid synchronization. However, it has been pointed out th…