Computation of Parametric Convergence Bound and Parametric Convergence Margin for Volterra series expansion

Zhenlong Xiao; Xingjian Jing; Li Cheng

doi:10.1109/ASCC.2013.6606144

Computation of Parametric Convergence Bound and Parametric Convergence Margin for Volterra series expansion

Zhenlong Xiao, Xingjian Jing, Li Cheng

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

2 Citations (Scopus)

Abstract

In this paper, the concepts of Parametric Bound of Convergence (PBoC) and Parametric Convergence Margin (PCM) are proposed, The estimation of PBoC and PCM are presented explicitly in terms of the characteristic parameters, which do not require any recursive computation. An example is given to illustrate and validate the presented results.

Original language	English
Title of host publication	2013 9th Asian Control Conference, ASCC 2013
DOIs	https://doi.org/10.1109/ASCC.2013.6606144
Publication status	Published - 31 Oct 2013
Event	2013 9th Asian Control Conference, ASCC 2013 - Istanbul, Turkey Duration: 23 Jun 2013 → 26 Jun 2013

Conference

Conference	2013 9th Asian Control Conference, ASCC 2013
Country/Territory	Turkey
City	Istanbul
Period	23/06/13 → 26/06/13

Keywords

NARX model
Parametric Bound of Convergence (PBoC)
Parametric Convergence Margin (PCM)
Volterra series

ASJC Scopus subject areas

Control and Systems Engineering

More information

10.1109/ASCC.2013.6606144

Cite this

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title = "Computation of Parametric Convergence Bound and Parametric Convergence Margin for Volterra series expansion",

abstract = "In this paper, the concepts of Parametric Bound of Convergence (PBoC) and Parametric Convergence Margin (PCM) are proposed, The estimation of PBoC and PCM are presented explicitly in terms of the characteristic parameters, which do not require any recursive computation. An example is given to illustrate and validate the presented results.",

keywords = "NARX model, Parametric Bound of Convergence (PBoC), Parametric Convergence Margin (PCM), Volterra series",

author = "Zhenlong Xiao and Xingjian Jing and Li Cheng",

year = "2013",

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day = "31",

doi = "10.1109/ASCC.2013.6606144",

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AU - Xiao, Zhenlong

AU - Jing, Xingjian

AU - Cheng, Li

PY - 2013/10/31

Y1 - 2013/10/31

N2 - In this paper, the concepts of Parametric Bound of Convergence (PBoC) and Parametric Convergence Margin (PCM) are proposed, The estimation of PBoC and PCM are presented explicitly in terms of the characteristic parameters, which do not require any recursive computation. An example is given to illustrate and validate the presented results.

AB - In this paper, the concepts of Parametric Bound of Convergence (PBoC) and Parametric Convergence Margin (PCM) are proposed, The estimation of PBoC and PCM are presented explicitly in terms of the characteristic parameters, which do not require any recursive computation. An example is given to illustrate and validate the presented results.

KW - NARX model

KW - Parametric Bound of Convergence (PBoC)

KW - Parametric Convergence Margin (PCM)

KW - Volterra series

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U2 - 10.1109/ASCC.2013.6606144

DO - 10.1109/ASCC.2013.6606144

M3 - Conference article published in proceeding or book

SN - 9781467357692

BT - 2013 9th Asian Control Conference, ASCC 2013

T2 - 2013 9th Asian Control Conference, ASCC 2013

Y2 - 23 June 2013 through 26 June 2013

ER -

Computation of Parametric Convergence Bound and Parametric Convergence Margin for Volterra series expansion

Abstract

Conference

Keywords

ASJC Scopus subject areas

More information

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