7 citations · 7 across the 4 of their papers we have counts for
4 papers
Kernel-Based Regularized Continuous-Time System Identification from Sampled Data
Xiaozhu Fang, Biqiang Mu, Tianshi Chen
The identification of continuous-time (CT) systems from discrete-time (DT) input and output signals, i.e., the sampled data, has received considerable attention for half a century.…
A Local Gaussian Process Regression Approach to Frequency Response Function Estimation
Xiaozhu Fang, Yu Xu, Tianshi Chen
Frequency response function (FRF) estimation is a classical subject in system identification. In the past two decades, there have been remarkable advances in developing local metho…
On Kernel Design for Regularized Non-Causal System Identification
Xiaozhu Fang, Tianshi Chen
Through one decade's development, the kernel-based regularization method (KRM) has become a complement to the classical maximum likelihood/prediction error method and an emerging n…
Kernel-based Regularized Iterative Learning Control of Repetitive Linear Time-varying Systems
Xian Yu, Xiaozhu Fang, Biqiang Mu +1
For data-driven iterative learning control (ILC) methods, both the model estimation and controller design problems are converted to parameter estimation problems for some chosen mo…