Prediction error methods for limit cycle data

Autor:	Clas A. Jacobson, Robert R. Bitmead, C. Richard Johnson, R.A. Casas
Rok vydání:	2002
Předmět:	Identification (information) Nonlinear system Data model Control and Systems Engineering Control theory Mean squared prediction error Limit cycle Electrical and Electronic Engineering Mathematics
Zdroj:	Automatica. 38:1753-1760
ISSN:	0005-1098
Popis:	Prediction error methods are considered for identification of the forward linear dynamics of nonlinear feedback closed-loop systems which operate in a perturbed stable limit cycle. A model of the signals measured in a neighborhood of the limit cycle is presented and shown to satisfy a quasistationarity property. Quasistationarity is then used to prove that prediction error methods are both convergent and consistent for our data model.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::df356352ac25e05fddd58d65300c024e https://doi.org/10.1016/s0005-1098(02)00085-7 Zobrazit plný text záznamu Full Text from ScienceDirect