Iterative Hybrid Identification of Spatial Bilinear Models in the Presence of Uncertainty

James E. Trollope; Keith J. Burnham

doi:10.1007/978-3-319-08422-0_111

Iterative Hybrid Identification of Spatial Bilinear Models in the Presence of Uncertainty

James E. Trollope, Keith J. Burnham

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Abstract

This paper introduces the concept of a novel spatial model identification procedure which makes use of a hybrid combination of two algorithms implemented in an iterative manner. The approach is shown to provide effective results in the presence of uncertainty and absence of an ideal quantity of data. The potential practicability of the approach is highlighted in the context of the development of active control of collision energy absorption

Original language	English
Title of host publication	Advances in Intelligent Systems and Computing: Proceedings of the Twenty-Third International Conference on Systems Engineering
Editors	Henry Selvaraj, Dawid Zydek, Grzegorz Chmaj
Publisher	Springer Verlag
Pages	769-773
Number of pages	5
Volume	1089
ISBN (Electronic)	978-3-319-08422-0
ISBN (Print)	978-3-319-08421-3
DOIs	https://doi.org/10.1007/978-3-319-08422-0_111
Publication status	Published - 2015

Bibliographical note

This paper is not available on the repository. The paper was given at the 23rd International Conference on Systems Engineering, ICSEng 2014; Las Vegas, NV; United States; 19 August 2014 through 21 August 2014

Keywords

active control
bilinear modelling
energy absorption
mathematical model
quasi-static spatial model

Access to Document

10.1007/978-3-319-08422-0_111

Cite this

Trollope, J. E., & Burnham, K. J. (2015). Iterative Hybrid Identification of Spatial Bilinear Models in the Presence of Uncertainty. In H. Selvaraj, D. Zydek, & G. Chmaj (Eds.), Advances in Intelligent Systems and Computing: Proceedings of the Twenty-Third International Conference on Systems Engineering (Vol. 1089, pp. 769-773). Springer Verlag. https://doi.org/10.1007/978-3-319-08422-0_111

Iterative Hybrid Identification of Spatial Bilinear Models in the Presence of Uncertainty. / Trollope, James E.; Burnham, Keith J.
Advances in Intelligent Systems and Computing: Proceedings of the Twenty-Third International Conference on Systems Engineering. ed. / Henry Selvaraj; Dawid Zydek; Grzegorz Chmaj. Vol. 1089 Springer Verlag, 2015. p. 769-773.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Trollope, JE & Burnham, KJ 2015, Iterative Hybrid Identification of Spatial Bilinear Models in the Presence of Uncertainty. in H Selvaraj, D Zydek & G Chmaj (eds), Advances in Intelligent Systems and Computing: Proceedings of the Twenty-Third International Conference on Systems Engineering. vol. 1089, Springer Verlag, pp. 769-773. https://doi.org/10.1007/978-3-319-08422-0_111

@inproceedings{c21cfc365a8d4924ba4f7e4d555c362f,

title = "Iterative Hybrid Identification of Spatial Bilinear Models in the Presence of Uncertainty",

abstract = "This paper introduces the concept of a novel spatial model identification procedure which makes use of a hybrid combination of two algorithms implemented in an iterative manner. The approach is shown to provide effective results in the presence of uncertainty and absence of an ideal quantity of data. The potential practicability of the approach is highlighted in the context of the development of active control of collision energy absorption",

keywords = "active control, bilinear modelling, energy absorption, mathematical model, quasi-static spatial model",

author = "Trollope, {James E.} and Burnham, {Keith J.}",

note = "This paper is not available on the repository. The paper was given at the 23rd International Conference on Systems Engineering, ICSEng 2014; Las Vegas, NV; United States; 19 August 2014 through 21 August 2014",

year = "2015",

doi = "10.1007/978-3-319-08422-0_111",

language = "English",

isbn = "978-3-319-08421-3",

volume = "1089",

pages = "769--773",

editor = "Henry Selvaraj and Dawid Zydek and Grzegorz Chmaj",

booktitle = "Advances in Intelligent Systems and Computing: Proceedings of the Twenty-Third International Conference on Systems Engineering",

publisher = "Springer Verlag",

address = "Austria",

}

TY - GEN

T1 - Iterative Hybrid Identification of Spatial Bilinear Models in the Presence of Uncertainty

AU - Trollope, James E.

AU - Burnham, Keith J.

N1 - This paper is not available on the repository. The paper was given at the 23rd International Conference on Systems Engineering, ICSEng 2014; Las Vegas, NV; United States; 19 August 2014 through 21 August 2014

PY - 2015

Y1 - 2015

N2 - This paper introduces the concept of a novel spatial model identification procedure which makes use of a hybrid combination of two algorithms implemented in an iterative manner. The approach is shown to provide effective results in the presence of uncertainty and absence of an ideal quantity of data. The potential practicability of the approach is highlighted in the context of the development of active control of collision energy absorption

AB - This paper introduces the concept of a novel spatial model identification procedure which makes use of a hybrid combination of two algorithms implemented in an iterative manner. The approach is shown to provide effective results in the presence of uncertainty and absence of an ideal quantity of data. The potential practicability of the approach is highlighted in the context of the development of active control of collision energy absorption

KW - active control

KW - bilinear modelling

KW - energy absorption

KW - mathematical model

KW - quasi-static spatial model

U2 - 10.1007/978-3-319-08422-0_111

DO - 10.1007/978-3-319-08422-0_111

M3 - Conference proceeding

SN - 978-3-319-08421-3

VL - 1089

SP - 769

EP - 773

BT - Advances in Intelligent Systems and Computing: Proceedings of the Twenty-Third International Conference on Systems Engineering

A2 - Selvaraj, Henry

A2 - Zydek, Dawid

A2 - Chmaj, Grzegorz

PB - Springer Verlag

ER -

Iterative Hybrid Identification of Spatial Bilinear Models in the Presence of Uncertainty

Abstract

Bibliographical note

Keywords

Access to Document

Fingerprint

Cite this