Observer for linear systems under time-varying delayed measurements: Application to a cardiovascular system

This work presents the design of a cascade observer for a linear system that is applicated for state estimation of the cardiovascular system. The system exhibits time-varying delays in the available output. The cascade observer in this work is capable of estimating actual state vector even in the presence of time-varying delays. The structure of the observer consists of m+ 1 subsystems, the first subsystem is an observer that estimates the delayed state vector and the m subsystems will compesate a fraction of the time-delay where the last subsystems estimate the actual state vector. The observer is validated in simulation and applied to estimate the dynamics of the cardiovascular system by obtaining the actual state vector estimatation and the output signal.

Authors

Publication Details

Journal
Memorias del Congreso Nacional de Control Automático
Published
2024-12-27
DOI
https://doi.org/10.58571/cnca.amca.2024.007
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

Observer for linear systems under time-varying delayed measurements: Application to a cardiovascular system

Felipe Ramírez-Rasgado, Omar Hernández González, C.M. Astorga‐Zaragoza, María‐Eusebia Guerrero‐Sánchez et al.
Memorias del Congreso Nacional de Control Automático
Fault Detection and Control Systems
article

Observer for linear systems under time-varying delayed measurements: Application to a cardiovascular system

Felipe Ramírez-Rasgado, Omar Hernández González, C.M. Astorga‐Zaragoza, María‐Eusebia Guerrero‐Sánchez, M. Farza, Mohammed M’Saad
article en

Abstract

This work presents the design of a cascade observer for a linear system that is applicated for state estimation of the cardiovascular system. The system exhibits time-varying delays in the available output. The cascade observer in this work is capable of estimating actual state vector even in the presence of time-varying delays. The structure of the observer consists of m+ 1 subsystems, the first subsystem is an observer that estimates the delayed state vector and the m subsystems will compesate a fraction of the time-delay where the last subsystems estimate the actual state vector. The observer is validated in simulation and applied to estimate the dynamics of the cardiovascular system by obtaining the actual state vector estimatation and the output signal.

Memorias del Congreso Nacional de Control AutomáticoVol. 7(1)
Openalex Percentile: Top 70%
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.

Observer for linear systems under time-varying delayed measurements: Application to a cardiovascular system — Felipe Ramírez-Rasgado, Omar Hernández González, et al. · Memorias del Congreso Nacional de Control Automático (2024) | TGRS Research Map | TGRS