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arXiv · 2011.14950

On Loewner data-driven control for infinite-dimensional systems

Ion Victor Gosea·Charles Poussot-Vassal·Athanasios C. Antoulas
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Abstract

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 known as Adaptive-Antoulas-Anderson (AAA) and Vector Fitting (VF). These algorithms also include least squares fitting which provides additional flexibility and enables possible adjustments for control tuning. Secondly, the standard model reference data-driven setting is extended to handle noise affecting the data and uncertainty in the closed-loop objective function. These proposed adaptations yield a more robust data-driven control design.

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Ion Victor Gosea, Charles Poussot-Vassal, Athanasios C. Antoulas. 2020-11-23. On Loewner data-driven control for infinite-dimensional systems. https://arxiv.org/abs/2011.14950

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