@inproceedings{fabb5f17e7ac4c629d0ad03565034134,
title = "Optimal input design for minimum-variance estimation of parameters in nonlinear state-space models",
abstract = "The paper presents a methodology for optimal input design (OID) for minimum-variance estimation of parameters in nonlinear state-space models. To allow analytical solutions, in Keesman (2015) asequential OID approach, based on Pontryagin's minimum principle, was proposed for low-dimensional non-linear systems that are affine in their input. In this study, a simultaneous OID approach for a set of two parameters in one-dimensional non-linear systems affine in their input is presented. For the two-parameter case still analytically tractable solutions are found, unlike cases with three or more parameters.",
keywords = "Non-linear dynamic systems, Optimal Input Design, Parameter estimation, Pontryagin's principle, Two-parameter case",
author = "Keesman, \{Karel J.\}",
year = "2018",
month = oct,
day = "8",
doi = "10.1016/j.ifacol.2018.09.172",
language = "English",
series = "IFAC-PapersOnLine",
publisher = "IFAC",
number = "15",
pages = "365--370",
editor = "C. Rojas",
booktitle = "18th IFAC Symposium on System Identification SYSID 2018",
}