13 citations · 13 across the 2 of their papers we have counts for
3 papers
cs.LG2025
IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction
Yifan Zhou, Yibo Wang, Chao Shang
Many real-world datasets are time series that are sequentially collected and contain rich temporal information. Thus, a common interest in practice is to capture dynamics of time s…
math.OC2025
On Min-Max Robust Data-Driven Predictive Control Considering Non-Unique Solutions to Behavioral Representation
Yibo Wang, Qingyuan Liu, Chao Shang
Direct data-driven control methods are known to be vulnerable to uncertainty in stochastic systems. In this paper, we propose a new robust data-driven predictive control (DDPC) fra…
math.OC2023★ 13 cited
Causality-Informed Data-Driven Predictive Control
Malika Sader, Yibo Wang, Dexian Huang +2
As a useful and efficient alternative to generic model-based control scheme, data-driven predictive control is subject to bias-variance trade-off and is known to not perform desira…