Exponential stability of data-driven nonlinear MPC based on input/output models
File(s)
Accepted version
Author(s)
Bold, Lea
Schimperna, Irene
Worthmann, Karl
Köhler, Johannes
Type
Journal Article
Abstract
We consider nonlinear model predictive control (MPC) schemes without stabilizing terminal conditions, where the model used in the optimization step is generated based on input-output data only. We establish exponential stability for sufficiently long prediction horizons assuming exponential stabilizability and a proportional error bound. Moreover, we verify the imposed condition on the approximation using kernel interpolation and demonstrate the practical applicability to nonlinear systems by numerical simulations.
Date Issued
2026-06-02
Date Acceptance
2026-06-01
Citation
IEEE Control Systems Letters, 2026, pp.1-1
ISSN
2475-1456
Publisher
Institute of Electrical and Electronics Engineers
Start Page
1
End Page
1
Journal / Book Title
IEEE Control Systems Letters
Copyright Statement
Copyright © 2026 IEEE. This is the author’s accepted manuscript made available under a CC-BY licence in accordance with Imperial’s Research Publications Open Access policy (www.imperial.ac.uk/oa-policy)
License URL
Publication Status
Published
Date Publish Online
2026-06-02