Handling of time delays in system identification with regularized FIR models

A new multiple kernel-based regularization method for identification of delay linear dynamic systems

(2020) Xiaolong Chen et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

On asymptotic properties of hyperparameter estimators for kernel-based regularization methods

(2018) Biqiang Mu et al.   AUTOMATICA

Gray-box identification with regularized FIR models

(2018) Tobias Münker et al.   AT-Automatisierungstechnik

Filter-based regularisation for impulse response modelling

(2017) Anna Marconato et al.   IET Control Theory and Applications

Tuning complexity in regularized kernel-based regression and linear system identification: The robustness of the marginal likelihood estimator

(2015) Gianluigi Pillonetto et al.   AUTOMATICA

Kernel methods in system identification, machine learning and function estimation: A survey

(2014) Gianluigi Pillonetto et al.   AUTOMATICA

System Identification Via Sparse Multiple Kernel-Based Regularization Using Sequential Convex Optimization Techniques

(2014) Tianshi Chen et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Implementation of algorithms for tuning parameters in regularized least squares problems in system identification

(2013) Tianshi Chen et al.   AUTOMATICA

A new kernel-based approach for linear system identification

(2009) Gianluigi Pillonetto et al.   AUTOMATICA