3 citations · 4 across the 14 of their papers we have counts for
4 papers · 1 filter
Bayes Estimators with Performance Comparable to Empirical Bayes Estimators and Improved Local Robustness
Yue Ju, Ying Wang, Jiabao He +2
Bayes estimation has been extensively studied and widely used in statistics, decision theory, signal processing, machine learning, and system identification. Among its variants, em…
Fundamental Limitations of Data-Driven Control: A Statistical Decision Perspective
Jiabao He, Feiran Zhao, Yushan Li +3
Substantial research efforts have been devoted to the design of data-driven controllers; however, comparatively less is known about their statistical performance and fundamental li…
Preserving Topology Privacy of Network Systems by Feedback: Conditions and Distributed Design
Yushan Li, Jiabao He, Julien M. Hendrickx +1
This paper develops a feedback-based method to preserve the topology privacy of consensus protocols in network systems. The key idea is to intentionally violate topology identifiab…
Data-Driven Moving Horizon Estimators for Linear Systems with Sample Complexity Analysis
Peihu Duan, Jiabao He, Yuezu Lv +1
This paper investigates the state estimation problem for linear systems subject to Gaussian noise, where the model parameters are unknown. By formulating and solving an optimizatio…