48 citations · 117 across the 22 of their papers we have counts for
5 papers · 1 filter
Identifying Biochemical Reaction Networks From Heterogeneous Datasets
Wei Pan, Ye Yuan, Lennart Ljung +2
In this paper, we propose a new method to identify biochemical reaction networks (i.e. both reactions and kinetic parameters) from heterogeneous datasets. Such datasets can contain…
Identification of Stochastic Wiener Systems using Indirect Inference
Bo Wahlberg, James Welsh, Lennart Ljung
We study identification of stochastic Wiener dynamic systems using so-called indirect inference. The main idea is to first fit an auxiliary model to the observed data and then in a…
Regularized linear system identification using atomic, nuclear and kernel-based norms: the role of the stability constraint
Gianluigi Pillonetto, Tianshi Chen, Alessandro Chiuso +2
Inspired by ideas taken from the machine learning literature, new regularization techniques have been recently introduced in linear system identification. In particular, all the ad…
Maximum entropy properties of discrete-time first-order stable spline kernel
Tianshi Chen, Tohid Ardeshiri, Francesca P. Carli +3
The first order stable spline (SS-1) kernel is used extensively in regularized system identification. In particular, the stable spline estimator models the impulse response as a ze…
Regularized system identification using orthonormal basis functions
Tianshi Chen, Lennart Ljung
Most of existing results on regularized system identification focus on regularized impulse response estimation. Since the impulse response model is a special case of orthonormal ba…