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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Data-driven output regulation of nonlinear systems via incremental passivity

Meichen Guo, Yixuan Liu
Neural Networks and Applications
article

Data-driven output regulation of nonlinear systems via incremental passivity

Meichen Guo, Yixuan Liu
article en

Abstract

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.

Delft University of Technology (NL)
Openalex Percentile: Top 85%
Neural Networks and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Data-driven output regulation of nonlinear systems via incremental passivity — Meichen Guo, Yixuan Liu · (2025) | TGRS Research Map | TGRS