1 citations · 2 across the 6 of their papers we have counts for
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math.OC2024
Data-Driven Stable Neural Feedback Loop Design
Zuxun Xiong, Han Wang, Liqun Zhao +1
This paper proposes a data-driven approach to design a feedforward Neural Network (NN) controller with a stability guarantee for plants with unknown dynamics. We first introduce da…
math.OC2024
Model-Free Verification for Neural Network Controlled Systems
Han Wang, Zuxun Xiong, Liqun Zhao +1
Neural network controllers have shown potential in achieving superior performance in feedback control systems. Although a neural network can be trained efficiently using deep and r…
cs.LG2024★ 1 cited
Stable and Safe Human-aligned Reinforcement Learning through Neural Ordinary Differential Equations
Liqun Zhao, Keyan Miao, Konstantinos Gatsis +1
Reinforcement learning (RL) excels in applications such as video games, but ensuring safety as well as the ability to achieve the specified goals remains challenging when using RL…