Title :
Identification of nonlinear dynamic systems by combining equilibrium and off-equilibrium information
Author_Institution :
Hamilton Inst., Nat. Univ. of Ireland, Maynooth
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;
Conference_Titel :
Industrial Electronics and Control Applications, 2005. ICIECA 2005. International Conference on
Conference_Location :
Quito
Print_ISBN :
0-7803-9419-4
DOI :
10.1109/ICIECA.2005.1644355
