Model parameter and time delay estimation using gradient methods

Aidan O'Dwyer

doi:10.21427/365t-a247

Model parameter and time delay estimation using gradient methods

Aidan O'Dwyer

Technological University Dublin

Research output: Contribution to conference › Paper › peer-review

Abstract

A number of approaches have been proposed for parameter and time delay estimation of process models in single input, single output (SISO) control systems using gradient descent algorithms; some of these approaches involve the selection of a rational polynomial that is used to approximate time delay variations. This paper takes a generalised approach to the investigation of the most appropriate choice of the rational polynomial, and the gradient descent algorithm, to be used.

Original language	English
DOIs	https://doi.org/10.21427/365t-a247
Publication status	Published - 1994
Event	Irish Colloquium on DSP and Control - Dublin, Ireland Duration: 1 Jan 1994 → …

Conference

Conference	Irish Colloquium on DSP and Control
Country/Territory	Ireland
City	Dublin
Period	1/01/94 → …

Keywords

parameter estimation
time delay estimation
process models
SISO control systems
gradient descent algorithms
rational polynomial

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10.21427/365t-a247Licence: CC BY-NC-SA

Cite this

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AB - A number of approaches have been proposed for parameter and time delay estimation of process models in single input, single output (SISO) control systems using gradient descent algorithms; some of these approaches involve the selection of a rational polynomial that is used to approximate time delay variations. This paper takes a generalised approach to the investigation of the most appropriate choice of the rational polynomial, and the gradient descent algorithm, to be used.

KW - parameter estimation

KW - time delay estimation

KW - process models

KW - SISO control systems

KW - gradient descent algorithms

KW - rational polynomial

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DO - 10.21427/365t-a247

M3 - Paper

T2 - Irish Colloquium on DSP and Control

Y2 - 1 January 1994

ER -

Model parameter and time delay estimation using gradient methods

Abstract

Conference

Keywords

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Cite this