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We introduce an interpolation framework for H-infinity model reduction founded on ideas originating in optimal-H2 interpolatory model reduction, realization theory, and complex Chebyshev approximation. By employing a Loewner "data-driven"…

Numerical Analysis · Mathematics 2013-09-03 Garret Flagg , Christopher Beattie , Serkan Gugercin

In this paper we establish the interpolatory model reduction framework for optimal approximation of MIMO dynamical systems with respect to the $\mathcal{H}_2$ norm over a finite-time horizon, denoted as the $\mathcal{H}_2(t_f)$ norm. Using…

Numerical Analysis · Mathematics 2019-05-21 Klajdi Sinani , Serkan Gugercin

In this paper, the $\mathcal{H}_{2}$ optimal approximation of a $n_{y}\times{n_{u}}$ transfer function $\mathbf{G}(s)$ by a finite dimensional system $\hat{\mathbf{H}}_{d}(s)$ including input/output delays, is addressed. The underlying…

Systems and Control · Computer Science 2015-11-18 Igor Pontes Duff , Charles Poussot-Vassal , Cédric Seren

This paper presents an interpolatory framework for time-limited $H_2$ optimal model order reduction named Limited Time Iterative Rational Krylov Algorithm (LT-IRKA). The algorithm yields high fidelity reduced order models over limited time…

Systems and Control · Electrical Eng. & Systems 2021-10-12 Kasturi Das , Srinivasan Krishnaswamy , Somanath Majhi

This paper addresses the $\mathcal{H}_2$-optimal approximation of linear dynamical systems with quadratic-output functions, also known as linear quadratic-output systems. Our major contributions are threefold. First, we derive…

Numerical Analysis · Mathematics 2025-05-07 Sean Reiter , Ion Victor Gosea , Igor Pontes Duff , Serkan Gugercin

An interpolation method for discretising continuous-time Linear Time Invariant (LTI) models is proposed in this paper. It consists first in using the Loewner interpolation framework on a specific set of frequency data and secondly to…

Systems and Control · Electrical Eng. & Systems 2019-07-26 Pierre Vuillemin , Charles Poussot-Vassal

Interpolatory necessary optimality conditions for $\mathcal{H}_2$-optimal reduced-order modeling of unstructured linear time-invariant (LTI) systems are well-known. Based on previous work on $\mathcal{L}_2$-optimal reduced-order modeling of…

Numerical Analysis · Mathematics 2024-09-23 Petar Mlinarić , Peter Benner , Serkan Gugercin

We develop the interpolatory $\mathcal{H}_2$ optimal model reduction framework for linear control systems posed on infinite dimensional state, input and output spaces. Specifically, we consider linear systems formulated as controlled…

Optimization and Control · Mathematics 2026-04-15 Cankat Tilki , Tobias Breiten , Serkan Gugercin

We consider optimal interpolation of functions analytic in simply connected domains in the complex plane. By choosing a specific structure for the approximant, we show that the resulting first order optimality conditions can be interpreted…

Numerical Analysis · Mathematics 2025-07-22 Alessandro Borghi , Tobias Breiten

We present a framework for constructing a structured realization of a linear time-invariant dynamical system solely from a discrete sampling of an input and output trajectory of the system. We estimate the transfer function of the original…

Optimization and Control · Mathematics 2019-02-15 Elliot Fosong , Philipp Schulze , Benjamin Unger

In this paper, the problems of frequency-limited and time-limited H2-optimal model order reduction of linear time-invariant systems are considered within the oblique projection framework. It is shown that it is inherently not possible to…

Systems and Control · Electrical Eng. & Systems 2021-09-15 Umair Zulfiqar , Victor Sreeram , Xin Du

We explore the possibility of modifying the Lewis-Riesenfeld method of invariants developed originally to find exact solutions for time-dependent quantum mechanical systems for the situation in which an exact invariant can be constructed,…

Quantum Physics · Physics 2020-02-03 Andreas Fring , Rebecca Tenney

The versatility of data-driven approximation by interpolatory methods, originally settled for model approximation purpose, is illustrated in the context of linear controller design and stability analysis of irrational models. To this aim,…

Optimization and Control · Mathematics 2020-12-04 Charles Poussot-Vassal , Pauline Kergus , Pierre Vuillemin

We develop a unifying framework for interpolatory $\mathcal{L}_2$-optimal reduced-order modeling for a wide classes of problems ranging from stationary models to parametric dynamical systems. We first show that the framework naturally…

Numerical Analysis · Mathematics 2023-09-26 Petar Mlinarić , Serkan Gugercin

This paper develops an interpolatory framework for weighted-$\mathcal{H}_2$ model reduction of MIMO dynamical systems. A new representation of the weighted-$\mathcal{H}_2$ inner products in MIMO settings is introduced and used to derive…

Systems and Control · Computer Science 2016-10-05 Tobias Breiten , Christopher Beattie , Serkan Gugercin

$\mathcal{H}_2$-optimal model order reduction algorithms represent a significant class of techniques, known for their accuracy, which has been extensively validated over the past two decades. Among these, the Iterative Rational Krylov…

Systems and Control · Electrical Eng. & Systems 2024-08-22 Umair Zulfiqar

The Realization Independent Iterative Rational Krylov Algorithm (TF-IRKA) is a frequency-based data-driven reduced order modeling (DDROM) method that constructs $\mathcal H_2$ optimal DDROMs. However, as the $\mathcal H_2$ optimal…

Numerical Analysis · Mathematics 2024-07-18 Michael S. Ackermann , Serkan Gugercin

We present a framework for constructing structured realizations of linear dynamical systems having transfer functions of the form $C(\sum_{k=1}^K h_k(s)A_k)^{-1}B$ where $h_1,h_2,\ldots,h_K$ are prescribed functions that specify the…

Systems and Control · Computer Science 2018-01-30 Philipp Schulze , Benjamin Unger , Christopher Beattie , Serkan Gugercin

In this paper we compute families of reduced order models that match a prescribed set of moments of a highly dimensional linear time-invariant system. First, we fully parametrize the models in the interpolation points and in the free…

Optimization and Control · Mathematics 2018-11-20 I. Necoara , T. C. Ionescu

Optimal model reduction for large-scale linear dynamical systems is studied. In contrast to most existing works, the systems under consideration are not required to be stable, neither in discrete nor in continuous time. As a consequence,…

Numerical Analysis · Mathematics 2024-01-11 Alessandro Borghi , Tobias Breiten
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