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Author

Mathieu Pouliquen

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Open access Oct 2026

Data-driven Nonlinear System Identification Under Bounded Noise Using Kernel Learning-based Ellipsoidal Set-membership

Nonlinear system identification under bounded interferences remains a challenging problem when the noise bound is unavailable a priori. This paper presents a recursive kernel-based set-membership identification algorithm that combines the ellipsoidal outer-bounding (EOB) set-membership method with kernel learning to ad...

Hasna El Maizi, Mathieu Pouliquen, Rachid Fateh et al. · 0 citations

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