6 papers
Data-Driven Estimation of Vinnicombe metric
Margarita A. Guerrero, Henrik Sandberg, Cristian R. Rojas
Quantifying model mismatch in a control-relevant manner is fundamental in robust control. A well-known metric for this purpose is the -gap, or Vinnicombe metric, which measures…
Finite Sample MIMO System Identification with Multisine Excitation: Nonparametric, Direct, and Two-step Parametric Estimators
Rodrigo A. González, Koen Classens, Cristian R. Rojas +2
Multisine excitations are widely used for identifying multi-input multi-output systems due to their periodicity, data compression properties, and control over the input spectrum. D…
Sampling in Parametric and Nonparametric System Identification: Aliasing, Input Conditions, and Consistency
Rodrigo A. González, Max van Haren, Tom Oomen +1
The sampling rate of input and output signals is known to play a critical role in the identification and control of dynamical systems. For slow-sampled continuous-time systems that…
Identification of Additive Continuous-time Systems in Open and Closed loop
Rodrigo A. González, Koen Classens, Cristian R. Rojas +2
When identifying electrical, mechanical, or biological systems, parametric continuous-time identification methods can lead to interpretable and parsimonious models when the model s…
Statistical Analysis of Block Coordinate Descent Algorithms for Linear Continuous-time System Identification
Rodrigo A. González, Koen Classens, Cristian R. Rojas +2
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 (SI…
Consistency analysis of refined instrumental variable methods for continuous-time system identification in closed-loop
Rodrigo A. González, Siqi Pan, Cristian R. Rojas +1
Refined instrumental variable methods have been broadly used for identification of continuous-time systems in both open and closed-loop settings. However, the theoretical propertie…