68 citations · 86 across the 6 of their papers we have counts for
6 papers
Data-Driven Predictive Control Using Closed-Loop Data: An Instrumental Variable Approach
Yibo Wang, Yiwen Qiu, Malika Sader +2
Current data-driven predictive control (DDPC) methods heavily rely on data collected in open-loop operation with elaborate design of inputs. However, due to safety or economic conc…
Accelerated Nonconvex ADMM with Self-Adaptive Penalty for Rank-Constrained Model Identification
Qingyuan Liu, Zhengchao Huang, Hao Ye +2
The alternating direction method of multipliers (ADMM) has been widely adopted in low-rank approximation and low-order model identification tasks; however, the performance of nonco…
Data-Driven Output Prediction and Control of Stochastic Systems: An Innovation-Based Approach
Yibo Wang, Keyou You, Dexian Huang +1
Recent years have witnessed a booming interest in data-driven control of dynamical systems. However, the implicit data-driven output predictors are vulnerable to uncertainty such a…
From Generalized Gauss Bounds to Distributionally Robust Fault Detection with Unimodality Information
Chao Shang, Hao Ye, Dexian Huang +1
Probabilistic methods have attracted much interest in fault detection design, but its need for complete distributional knowledge is seldomly fulfilled. This has spurred endeavors i…
Edge Attention-based Multi-Relational Graph Convolutional Networks
Chao Shang, Qinqing Liu, Ko-Shin Chen +4
Graph convolutional network (GCN) is generalization of convolutional neural network (CNN) to work with arbitrarily structured graphs. A binary adjacency matrix is commonly used in…
VIGAN: Missing View Imputation with Generative Adversarial Networks
Chao Shang, Aaron Palmer, Jiangwen Sun +3
In an era when big data are becoming the norm, there is less concern with the quantity but more with the quality and completeness of the data. In many disciplines, data are collect…