Switched linear systems identification tool for industrial electrical networks

This paper presents a hybrid system identification approach tailored for industrial electrical networks modeled as a parallel connection of Linear Time-Invariant (LTI) systems. The proposed method aims to identify switching instants of individual system activations, accommodating constraints typical in industrial environments, such as limited input excitation and measurement noise. The algorithm involves four steps and demonstrates robustness with respect to measurement noise through simulation results.

Authors

Institutions

Publication Details

Published
2025-06-24
DOI
https://doi.org/10.23919/ecc65951.2025.11187244
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Switched linear systems identification tool for industrial electrical networks

Afzal Chamroo, Sébastien Cauët, Antonin Rivier
Fault Detection and Control Systems
article

Switched linear systems identification tool for industrial electrical networks

Afzal Chamroo, Sébastien Cauët, Antonin Rivier
article en

Abstract

This paper presents a hybrid system identification approach tailored for industrial electrical networks modeled as a parallel connection of Linear Time-Invariant (LTI) systems. The proposed method aims to identify switching instants of individual system activations, accommodating constraints typical in industrial environments, such as limited input excitation and measurement noise. The algorithm involves four steps and demonstrates robustness with respect to measurement noise through simulation results.

Université de Poitiers (FR), Laboratoire d'Informatique et d'Automatique pour les Systèmes (FR)
Openalex Percentile: Top 63%
Fault Detection and Control Systems
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.