Data-driven harmonic output regulation of a class of nonlinear systems

The paper deals with the data-based design of state-feedback controllers that solve the output regulation problem for a class of nonlinear systems. Inspired by recent developments in model-based output regulation design techniques and in data-driven control design for nonlinear systems, we derive a data-dependent semidefinite program that, when solved, directly returns a controller that steers the regulation error to a periodic signal whose Fourier series has identically zero coefficients up to a certain order set by the controller. When specialized to the case of linear systems, the result appears to improve upon existing work on data-driven regulation. Numerical results illustrate the findings.

Authors

Publication Details

Journal
Systems & Control Letters
Published
2025-03-23
DOI
https://doi.org/10.1016/j.sysconle.2025.106079
Citations
4
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
4.86

Funders

Controls
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article

Data-driven harmonic output regulation of a class of nonlinear systems

Zhongjie Hu, John W. Simpson-Porco, Pietro Tesi, Claudio De Persis
4 citations
Systems & Control Letters
Advanced Control Systems Optimization
4.86
article

Data-driven harmonic output regulation of a class of nonlinear systems

Zhongjie Hu, John W. Simpson-Porco, Pietro Tesi, Claudio De Persis
article en
4 citations

Abstract

The paper deals with the data-based design of state-feedback controllers that solve the output regulation problem for a class of nonlinear systems. Inspired by recent developments in model-based output regulation design techniques and in data-driven control design for nonlinear systems, we derive a data-dependent semidefinite program that, when solved, directly returns a controller that steers the regulation error to a periodic signal whose Fourier series has identically zero coefficients up to a certain order set by the controller. When specialized to the case of linear systems, the result appears to improve upon existing work on data-driven regulation. Numerical results illustrate the findings.

Systems & Control LettersVol. 200
Nederlandse Organisatie voor Wetenschappelijk Onderzoek, China Scholarship Council
Openalex Percentile: Top 5%
Advanced Control Systems Optimization
4.86
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Data-driven harmonic output regulation of a class of nonlinear systems — Zhongjie Hu, John W. Simpson-Porco, et al. · Systems & Control Letters (2025) | TGRS Research Map | TGRS