Work

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

Year: 2025

Type: article

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. Numerical results illustrate the findings

Source: Systems & Control Letters

DOI: 10.1016/j.sysconle.2025.106079

Authors: Zhongjie Hu, Claudio De Persis, John W. Simpson-Porco, Pietro Tesi

Language: English

Topic: Control Systems and Identification

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $2,910

Funders: Nederlandse Organisatie voor Wetenschappelijk Onderzoek, China Scholarship Council

Award: G1502848176