no code implementations • 13 Apr 2024 • Rodrigo A. González, Koen Classens, Cristian R. Rojas, James S. Welsh, Tom Oomen
Block coordinate descent is an optimization technique that is used for estimating multi-input single-output (MISO) continuous-time models, as well as single-input single output (SISO) models in additive form.
no code implementations • 13 Apr 2024 • Rodrigo A. González, Siqi Pan, Cristian R. Rojas, James S. Welsh
In this paper, we address the consistency of the simplified refined instrumental variable method for continuous-time systems (SRIVC) and its closed-loop variant CLSRIVC when they are applied on data that is generated from a feedback loop.
no code implementations • 2 Jan 2024 • Rodrigo A. González, Koen Classens, Cristian R. Rojas, James S. Welsh, Tom Oomen
When identifying electrical, mechanical, or biological systems, parametric continuous-time identification methods can lead to interpretable and parsimonious models when the model structure aligns with the physical properties of the system.
no code implementations • 31 May 2023 • Rodrigo A. González, Cristian R. Rojas, Siqi Pan, James S. Welsh
The Refined Instrumental Variable method for discrete-time systems (RIV) and its variant for continuous-time systems (RIVC) are popular methods for the identification of linear systems in open-loop.
no code implementations • 6 Apr 2023 • Rodrigo A. González, Cristian R. Rojas, Siqi Pan, James S. Welsh
The identification of electrical, mechanical, and biological systems using data can benefit greatly from prior knowledge extracted from physical modeling.
no code implementations • 23 Mar 2021 • Siqi Pan, James S. Welsh, Rodrigo A. Gonzalez, Cristian R. Rojas
The Consistency of the Closed-Loop Simplified Refined Instrumental Variable method for Continuous-time system (CLSRIVC) is analysed based on sampled data.
no code implementations • 19 Sep 2018 • Fayeem Aziz, Aaron S. W. Wong, James S. Welsh, Stephan K. Chalup
This study presents the results of a series of simulation experiments that evaluate and compare four different manifold alignment methods under the influence of noise.