17 citations · 24 across the 10 of their papers we have counts for
5 papers · 1 filter
Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives
Si Sun, Chenyan Xiong, Yue Yu +3
In this paper, we investigate the instability in the standard dense retrieval training, which iterates between model training and hard negative selection using the being-trained mo…
A Contraction-constrained Model Predictive Control for Nonlinear Processes using Disturbance Forecasts
Ryan McCloy, Lai Wei, Jie Bao
Model predictive control (MPC) has become the most widely used advanced control method in process industry. In many cases, forecasts of the disturbances are available, e.g., predic…
A Contraction-constrained Model Predictive Control for Multi-timescale Nonlinear Processes
Ryan McCloy, Lai Wei, Jie Bao
Many chemical processes exhibit diverse timescale dynamics with a strong coupling between timescale sensitive variables. Model predictive control with a non-uniformly spaced optimi…
Adaptive Contraction-based Control of Uncertain Nonlinear Processes using Neural Networks
Lai Wei, Ryan McCloy, Jie Bao
Driven by the flexible manufacturing trend in the process control industry and the uncertain nature of chemical process models, this article aims to achieve offset-free tracking fo…
Electrolyte Flow Rate Control for Vanadium Redox Flow Batteries using the Linear Parameter Varying Framework
Ryan McCloy, Yifeng Li, Jie Bao +1
In this article, an electrolyte flow rate control approach is developed for an all-vanadium redox flow battery (VRB) system based on the linear parameter varying (LPV) framework. T…