Analysis of adaptability estimation algorithms in dynamic systems

In this paper we show the adaptability analysis of estimation algorithms based on mobile average autoregressive models (ARMA) in an easy implementation system composed of a network of operational amplifiers (OpAmp) known as the Sallen-Key. Parameters are adjusted by means of projection algorithms, p...

Full description

Saved in:
Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2019-05, Vol.519 (1), p.12012
Main Authors: Zuleta, J N, Franco, R A L.
Format: Article
Language:English
Subjects:
Algorithms
Autoregressive models
Covariance matrix
Dynamical systems
Operational amplifiers
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper we show the adaptability analysis of estimation algorithms based on mobile average autoregressive models (ARMA) in an easy implementation system composed of a network of operational amplifiers (OpAmp) known as the Sallen-Key. Parameters are adjusted by means of projection algorithms, projection algorithm with covariance matrix, Recursive Least Squares (RLS) and Normalized RLS. The comparison of the performance of the estimation algorithms shows that those based on RLS and Normalized RLS quickly stabilize their values before disturbances in the input signals of the dynamic system.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/519/1/012012