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...