Identification of nonlinear dynamic systems by combining equilibrium and off-equilibrium information

W.E. Leithead; Science Foundation Ireland grant 00/P.1/C06 (Funder); EPSRC grant GR/M76379. (Funder)

doi:10.1109/ICIECA.2005.1644355

Identification of nonlinear dynamic systems by combining equilibrium and off-equilibrium information

W.E. Leithead, Science Foundation Ireland grant 00/P.1/C06 (Funder), EPSRC grant GR/M76379. (Funder)

Electronic And Electrical Engineering

Research output: Contribution to conference › Paper

Abstract

An identification methodology for nonlinear dynamic systems using Gaussian process prior models is presented. It combines equilibrium and off-equilibrium information. The advantages of so doing are highlighted.

Original language	English
Pages	6
DOIs	https://doi.org/10.1109/ICIECA.2005.1644355
Publication status	Published - 27 Jun 2006
Event	ICIECA 2005. International Conference on Industrial Electronics and Control Applications, 2005. - Ecuador Duration: 2 Jan 2005 → …

Conference

Conference	ICIECA 2005. International Conference on Industrial Electronics and Control Applications, 2005.
City	Ecuador
Period	2/01/05 → …

Keywords

neural networks
nonlinear dynamical systems
noise measurement
bayesian methods

Access to Document

10.1109/ICIECA.2005.1644355

Cite this

Leithead, W. E., Science Foundation Ireland grant 00/P.1/C06 (Funder), & EPSRC grant GR/M76379. (Funder) (2006). Identification of nonlinear dynamic systems by combining equilibrium and off-equilibrium information. 6. Paper presented at ICIECA 2005. International Conference on Industrial Electronics and Control Applications, 2005., Ecuador. https://doi.org/10.1109/ICIECA.2005.1644355

@conference{5e6d5e2305684b2f80637159e328d6c6,

title = "Identification of nonlinear dynamic systems by combining equilibrium and off-equilibrium information",

abstract = "An identification methodology for nonlinear dynamic systems using Gaussian process prior models is presented. It combines equilibrium and off-equilibrium information. The advantages of so doing are highlighted.",

keywords = "neural networks, nonlinear dynamical systems, noise measurement , bayesian methods",

author = "W.E. Leithead and {Science Foundation Ireland grant 00/P.1/C06 (Funder)} and {EPSRC grant GR/M76379. (Funder)}",

year = "2006",

month = jun,

day = "27",

doi = "10.1109/ICIECA.2005.1644355",

language = "English",

pages = "6",

note = "ICIECA 2005. International Conference on Industrial Electronics and Control Applications, 2005. ; Conference date: 02-01-2005",

}

Leithead, WE, Science Foundation Ireland grant 00/P.1/C06 (Funder) & EPSRC grant GR/M76379. (Funder) 2006, 'Identification of nonlinear dynamic systems by combining equilibrium and off-equilibrium information', Paper presented at ICIECA 2005. International Conference on Industrial Electronics and Control Applications, 2005., Ecuador, 2/01/05 pp. 6. https://doi.org/10.1109/ICIECA.2005.1644355

Identification of nonlinear dynamic systems by combining equilibrium and off-equilibrium information. / Leithead, W.E.; Science Foundation Ireland grant 00/P.1/C06 (Funder); EPSRC grant GR/M76379. (Funder).
2006. 6 Paper presented at ICIECA 2005. International Conference on Industrial Electronics and Control Applications, 2005., Ecuador.

Research output: Contribution to conference › Paper

TY - CONF

T1 - Identification of nonlinear dynamic systems by combining equilibrium and off-equilibrium information

AU - Leithead, W.E.

AU - Science Foundation Ireland grant 00/P.1/C06 (Funder)

AU - EPSRC grant GR/M76379. (Funder)

PY - 2006/6/27

Y1 - 2006/6/27

N2 - An identification methodology for nonlinear dynamic systems using Gaussian process prior models is presented. It combines equilibrium and off-equilibrium information. The advantages of so doing are highlighted.

AB - An identification methodology for nonlinear dynamic systems using Gaussian process prior models is presented. It combines equilibrium and off-equilibrium information. The advantages of so doing are highlighted.

KW - neural networks

KW - nonlinear dynamical systems

KW - noise measurement

KW - bayesian methods

U2 - 10.1109/ICIECA.2005.1644355

DO - 10.1109/ICIECA.2005.1644355

M3 - Paper

SP - 6

T2 - ICIECA 2005. International Conference on Industrial Electronics and Control Applications, 2005.

Y2 - 2 January 2005

ER -

Identification of nonlinear dynamic systems by combining equilibrium and off-equilibrium information

Abstract

Conference

Keywords

Access to Document

Fingerprint

Cite this