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math.OC2025
From Time Series to Affine Systems
A. Padoan, J. Eising, I. Markovsky
The paper extends core results of behavioral systems theory from linear to affine time-invariant systems. We characterize the behavior of affine time-invariant systems via kernel,…
math.OC2025
Set-valued regression and cautious suboptimization: From noisy data to optimality
Jaap Eising, Jorge Cortes
This paper deals with the problem of finding suboptimal values of an unknown function on the basis of measured data corrupted by bounded noise. As a prior, we assume that the unkno…
eess.SY2025
Distributed Time-Varying Gaussian Regression via Kalman Filtering
Nicola Taddei, Riccardo Maggioni, Jaap Eising +2
We consider the problem of learning time-varying functions in a distributed fashion, where agents collect local information to collaboratively achieve a shared estimate. This task…