57 citations · 132 across the 28 of their papers we have counts for
5 papers · 1 filter
Blind system identification using kernel-based methods
Giulio Bottegal, Riccardo S. Risuleo, Håkan Hjalmarsson
We propose a new method for blind system identification. Resorting to a Gaussian regression framework, we model the impulse response of the unknown linear system as a realization o…
A kernel-based approach to Hammerstein system identification
Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson
In this paper, we propose a novel algorithm for the identification of Hammerstein systems. Adopting a Bayesian approach, we model the impulse response of the unknown linear dynamic…
Robust EM kernel-based methods for linear system identification
Giulio Bottegal, Aleksandr Y. Aravkin, Håkan Hjalmarsson +1
Recent developments in system identification have brought attention to regularized kernel-based methods. This type of approach has been proven to compare favorably with classic par…
Piecewise Toeplitz Matrices-based Sensing for Rank Minimization
Kezhi Li, Cristian R. Rojas, Saikat Chatterjee +1
This paper proposes a set of piecewise Toeplitz matrices as the linear mapping/sensing operator for recovering l…
Applications Oriented Input Design in Time-Domain Through Cyclic Methods
A. Ebadat, B. Wahlberg, H. Hjalmarsson +3
In this paper we propose a method for applications oriented input design for linear systems under time-domain constraints on the amplitude of input and output signals. The method g…