3 papers
eess.SY2026
Sequentially decoupling estimators for Box-Jenkins model estimation
Biqiang Mu
In this paper, we propose a consistent and asymptotically efficient estimation method for Box-Jenkins (BJ) models that is applicable under both open-loop and closed-loop data condi…
eess.SY2025
On Kernel Design for Regularized Volterra Series Identification of Wiener-Hammerstein Systems
Yu Xu, Biqiang Mu, Tianshi Chen
There have been increasing interests on the Volterra series identification with the kernel-based regularization method. The major difficulties are on the kernel design and efficien…
eess.SY2024
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.…