Realization independent single time-delay dynamical model interpolation and $\mathcal{H}_2$-optimal approximation

TL;DR

This paper extends the Loewner framework to include time-delay models, establishes $ ext{H}_2$-optimality conditions using Lambert functions, and proposes an iterative scheme for delay-dependent model approximation.

Contribution

It generalizes the realization-free model approximation to delay-dependent models and introduces a new iterative method for $ ext{H}_2$-optimal approximation.

Findings

The generalized Loewner framework effectively handles delay-dependent models.

The $ ext{H}_2$ optimality conditions are derived using Lambert functions.

The proposed dTF-IRKA method demonstrates promising numerical results.

Abstract

In this paper, the realization-free model approximation problem, as stated in \cite{mayo2007framework,beattie2012realization}, is revisited in the case where the interpolating model might be time-delay dependent. To this aim, the Loewner framework, initially settled for delay-free realization, is firstly generalized to the single delay case. Secondly, the (infinite) model approximation $\mathcal{H}_2$ optimality conditions are established through the use of the Lambert functions. Finally, a numerically effective iterative scheme, named \textbf{dTF-IRKA}, similar to the \textbf{TF-IRKA} \cite{beattie2012realization}, is proposed to reach a part of the aforementioned optimality conditions. The proposed method validity and interest are assessed on different numerical examples.