activity
20132022
most citedConsistency Analysis of the Simplified Refined Instrumental Variable Method for Continuous-time Systems

3 citations · 10 across the 13 of their papers we have counts for

collaborators
Showing eess.SYShow all

9 papers · 1 filter

eess.SY20221 cited

On state-space representations of general discrete-time dynamical systems

Cristian R. Rojas, Pawel Wachel

In this paper we establish that every (deterministic) non-autonomous, discrete-time, causal, time invariant system has a state-space representation, and discuss its minimality.

eess.SY20211 cited

Consistency Analysis of the Closed-loop SRIVC Estimator

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

The Consistency of the Closed-Loop Simplified Refined Instrumental Variable method for Continuous-time system (CLSRIVC) is analysed based on sampled data. It is proven that the CLS…

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

Cooperative System Identification via Correctional Learning

Inês Lourenço, Robert Mattila, Cristian R. Rojas +1

We consider a cooperative system identification scenario in which an expert agent (teacher) knows a correct, or at least a good, model of the system and aims to assist a learner-ag…

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.SY20203 cited

How to Protect Your Privacy? A Framework for Counter-Adversarial Decision Making

Inês Lourenço, Robert Mattila, Cristian R. Rojas +1

We consider a counter-adversarial sequential decision-making problem where an agent computes its private belief (posterior distribution) of the current state of the world, by filte…