Optimal input design for parameter estimation in nonlinear state-space models using Pontryagin's minimum principle

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Abstract

The paper presents a methodology for optimal input design for the estimation of
parameters in nonlinear state-space models. To allow analytical solutions, the methodology,
using Pontryagin’s minimum principle, is initially developed for low-dimensional non-linear
systems that are affine in their input.
Original languageEnglish
Pages (from-to)1319-1324
JournalIFAC-PapersOnLine
Volume48
Issue number28
DOIs
Publication statusPublished - 2015
Event17th IFAC Symposium on System Identification - Beijing International Convention Center, Beijing, China
Duration: 19 Oct 201521 Oct 2015

Keywords

  • Optimal Input Design, Parameter Estimation, Non-linear Dynamic Systems,

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