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20172026
most citedRational approximation of the absolute value function from measurements: a numerical study of recent methods

9 citations · 15 across the 12 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

math.OC2020★ 3 cited

Learning reduced-order models of quadratic control systems from input-output data

Ion Victor Gosea, Dimitrios S. Karachalios, Athanasios C. Antoulas

In this paper, we address an extension of the Loewner framework for learning quadratic control systems from input-output data. The proposed method first constructs a reduced-order…

math.OC2020

On Loewner data-driven control for infinite-dimensional systems

Ion Victor Gosea, Charles Poussot-Vassal, Athanasios C. Antoulas

In this paper, we address extensions of the Loewner Data-Driven Control (L-DDC) methodology. First, this approach is extended by incorporating two alternative approximation methods…

math.NA2020★ 9 cited

Rational approximation of the absolute value function from measurements: a numerical study of recent methods

Ion Victor Gosea, Athanasios C. Antoulas

In this work, we propose an extensive numerical study on approximating the absolute value function. The methods presented in this paper compute approximants in the form of rational…

math.DS2020

Model reduction of linear hybrid systems

Ion Victor Gosea, Mihaly Petreczky, John Leth +2

The paper proposes a model reduction algorithm for linear hybrid systems, i.e., hybrid systems with externally induced discrete events, with linear continuous subsystems, and linea…

math.DS2020

On Bilinear Time Domain Identification and Reduction in the Loewner Framework

D. S. Karachalios, I. V. Gosea, A. C. Antoulas

The Loewner framework-(LF) in combination with Volterra series-(VS) offers a non-intrusive approximation method that is capable of identifying bilinear models from time-domain meas…