Data-driven output regulation of nonlinear systems via incremental passivity
This work addresses data-driven output regulation of nonlinear systems with unknown system parameters. Using incremental passivity, output regulation is achieved by interconnecting an incrementally passive internal model and an incrementally passive closed-loop system of the plant. The controller that makes the closed-loop system incrementally passive is characterized by linear matrix inequalities using finite offline data. A numerical example verifies the proposed data-driven regulator design.
Authors
- Meichen Guo (ORCID: https://orcid.org/0000-0001-9933-2168)
- Yixuan Liu (ORCID: https://orcid.org/0009-0005-9777-8875)
Institutions
- Delft University of Technology (NL)
Publication Details
- Published
- 2025-06-24
- DOI
- https://doi.org/10.23919/ecc65951.2025.11186856
- Primary Topic
- Neural Networks and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00