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eess.SY2025
An Autocovariance Least-Squares-Based Data-Driven Kalman Filter for Unknown Systems
Suyang Hu, Xiaoxu Lyu, Peihu Duan +2
This article investigates the problem of data-driven state estimation for linear systems with both unknown system dynamics and noise covariances. We propose an Autocovariance Least…
math.OC2025
Data-Driven Structured Controller Design Using the Matrix S-Procedure
Zhaohua Yang, Yuxing Zhong, Nachuan Yang +2
This paper focuses on the data-driven optimal structured controller design for discrete-time linear time-invariant (LTI) systems, considering both the performance and the $H_…