Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Matias I. Müller"'
Publikováno v:
IFAC-PapersOnLine. 54:619-624
In this work we develop a non-parametric method to estimate the input-passivity index of an unknown linear and time-invariant (LTI) system from iterative experiments based on the power method from numerical linear algebra. Inspired by the power metho
Autor:
Matias I. Müller, Cristian R. Rojas
Publikováno v:
CDC
The problem of estimating the largest gain of an unknown linear and time-invariant filter is studied, known as the ${{\mathcal{H}}_\infty }$-norm estimation problem. The approach presented in this paper is iterative and corresponds to the combination
Autor:
Cristian R. Rojas, Matias I. Müller
Publikováno v:
Automatica. 136:110042
This work presents a framework to address the MIMO (multiple-input multiple-output) control design problem under model uncertainty. The plant is considered to be LTI (linear and time-invariant) and that it is parametrized by a random variable whose d
Autor:
Matias I. Müller, Gustavo Quintana-Carapia, Celia Sánchez-Pérez, Robert Mattila, Daniel Matatagui, Roberto G. Ramírez-Chavarría
Publikováno v:
IFAC-PapersOnLine. 51:521-526
This work proposes an alternative framework for parametric bioimpedance estimation as a powerful tool to characterize biological media. We model the bioimpedance as an electrical network of paralle ...
Autor:
Matias I. Müller, Cristian R. Rojas
Publikováno v:
IFAC-PapersOnLine. 51:84-89
In this work the problem of computing the maximum gain of non-linear systems, also known as its l2-gain, from input-output data is studied. From an input design perspective, this problem reduces to find an optimal input sequence, of bounded norm, max
Publikováno v:
IFAC-PapersOnLine. 50:15530-15535
A control design procedure for disturbance rejection, when the disturbance model is uncertain, is proposed. We use the probabilistic information about the process disturbance model to design a controller to account for the uncertainty by using a risk
Autor:
Roberto G. Ramírez-Chavarría, Celia Sánchez-Pérez, Robert Mattila, Gustavo Quintana-Carapia, Matias I. Müller
Electrical impedance spectroscopy (EIS) is a tool for characterizing the electrical behavior of matter. Nevertheless, most of the work is focused on purely experimental results, leading aside alternative measurement and estimation techniques. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3adb0eae193bfa809d0a69053c3d9e3
https://doi.org/10.1016/j.measurement.2019.106913
https://doi.org/10.1016/j.measurement.2019.106913
Autor:
Matias I. Müller, Cristian R. Rojas
In this chapter, the problem of estimating in a model-free manner the H∞ norm of a linear dynamic system is discussed at a tutorial level. Two recently developed methods for addressing this problem ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ca6e6b313009b5a91934b7a1cfdc28d
https://doi.org/10.1049/pbce123e
https://doi.org/10.1049/pbce123e
Autor:
Matias I. Müller, Cristian R. Rojas
Publikováno v:
ECC
This work presents a framework to address the problem of designing discrete-time LTI (linear and time-invariant) multiple-input and multiple-output (MIMO) filters, aiming to optimize the performance of a system when model uncertainty is considered. A
Publikováno v:
CDC
We consider the control design problem of optimizing the $\mathcal{H}_{2}$ performance of a closed-loop system despite the presence of a malicious covert attacker. It is assumed that the attacker has incomplete knowledge on the true process we are co