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eess.SY2026
On Sample Complexity Bounds for Frequency-Domain System Identification
Arya Honarpisheh, Mario Sznaier
We study the sample complexity of frequency-domain system identification with bounded measurement noise. We focus on interpolatory identification algorithms, which return models co…
eess.SY2025
Frequency Response Identification of Low-Order Systems: Finite-Sample Analysis
Arya Honarpisheh, Mario Sznaier
This paper proposes a frequency-domain estimator for low-order systems from repeated noisy measurements. The estimator minimizes a quadratic data-fitting term regularized by the nu…
eess.SY2025
A Hybrid Framework for Efficient Koopman Operator Learning
Alexander Estornell, Leonard Jung, Alenna Spiro +2
Koopman analysis of a general dynamics system provides a linear Koopman operator and an embedded eigenfunction space, enabling the application of standard techniques from linear an…