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eess.SY2026
Gaussian behaviors and stochastic data-driven control
András Sasfi, Alberto Padoan, Ivan Markovsky +1
We propose a stochastic behavioral modeling framework, termed Gaussian behaviors, which augments a deterministic linear time-invariant (LTI) behavior with a Gaussian noise componen…
eess.SY2025
Gaussian behaviors: representations and data-driven control
András Sasfi, Ivan Markovsky, Alberto Padoan +1
We propose a modeling framework for stochastic systems, termed Gaussian behaviors, that describes finite-length trajectories of a system as a Gaussian process. The proposed model n…
eess.SY2025
GREAT: Grassmannian REcursive Algorithm for Tracking & Online System Identification
András Sasfi, Alberto Padoan, Ivan Markovsky +1
This paper introduces an online approach for identifying time-varying subspaces defined by linear dynamical systems. The approach of representing linear systems by non-parametric s…