activity
20192021
collaborators

5 papers

eess.SY2021

Non-causal regularized least-squares for continuous-time system identification with band-limited input excitations

Rodrigo A. González, Cristian R. Rojas, Håkan Hjalmarsson

In continuous-time system identification, the intersample behavior of the input signal is known to play a crucial role in the performance of estimation methods. One common input be…

eess.SY2020

Consistent identification of continuous-time systems under multisine input signal excitation

Rodrigo A. González, Cristian R. Rojas, Siqi Pan +1

For many years, the Simplified Refined Instrumental Variable method for Continuous-time systems (SRIVC) has been widely used for identification. The intersample behaviour of the in…

eess.SY2020

Efficiency Analysis of the Simplified Refined Instrumental Variable Method for Continuous-time Systems

Siqi Pan, James S. Welsh, Rodrigo A. González +1

In this paper, we derive the asymptotic Cramér-Rao lower bound for the continuous-time output error model structure and provide an analysis of the statistical efficiency of the Sim…

stat.ML2019

A Finite-Sample Deviation Bound for Stable Autoregressive Processes

Rodrigo A. González, Cristian R. Rojas

In this paper, we study non-asymptotic deviation bounds of the least squares estimator in Gaussian AR() processes. By relying on martingale concentration inequalities and a tail…

math.ST2019

Finite sample deviation and variance bounds for first order autoregressive processes

Rodrigo A. González, Cristian R. Rojas

In this paper, we study finite-sample properties of the least squares estimator in first order autoregressive processes. By leveraging a result from decoupling theory, we derive up…