DocumentCode
2122654
Title
Identification of nonlinear dynamic systems by combining equilibrium and off-equilibrium information
Author
Leithead, W.E.
Author_Institution
Hamilton Inst., Nat. Univ. of Ireland, Maynooth
fYear
0
fDate
0-0 0
Lastpage
6
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
Gaussian processes; identification; nonlinear systems; Gaussian process prior models; identification methodology; nonlinear dynamic systems; off-equilibrium information; Bayesian methods; Context modeling; Gaussian processes; Neural networks; Noise measurement; Nonlinear dynamical systems; Nonlinear systems; Probability distribution; Stochastic processes; Time series analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Control Applications, 2005. ICIECA 2005. International Conference on
Conference_Location
Quito
Print_ISBN
0-7803-9419-4
Type
conf
DOI
10.1109/ICIECA.2005.1644355
Filename
1644355
Link To Document