Paper Info
Title
Real-Time Identification Of Linear Continuous-Time Systems With Slowly Time-Varying Parameters
Abstract
The on-line recursive estimation of linear time varying systems usually involves discrete-time models. In the case of continuous-time models, recursive off-line estimation has been considered in some detail but on-line approaches based on continuous-time models have received less attention, partly due to the increased complexity associated with the need to handle the time-derivatives of the input and output variables. In this study, we present a real-time instrumental variable technique where linear filters are used to handle the time derivatives and the parameter variations are represented by a stochastic model.
Year
Venue
Field
2016
2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC)
Mathematical optimization,Linear system,Linear filter,Computer science,Instrumental variable,Stochastic process,Input/output,Prediction algorithms,Stochastic modelling,Recursion
DocType
ISSN
Citations 
Conference
0743-1546
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
A. Padilla100.34
Hugues Garnier218320.78
Peter C. Young3222110.94
Juan I. Yuz423724.89