Two identification methods for dual-rate sampled-data nonlinear output-error systems
type: Item
instance of: scholarly article
title: Two identification methods for dual-rate sampled-data nonlinear output-error systems
zbMATH Open document ID: 1407.93370
DOI: 10.1155/2014/329437
author: Jing Chen
author: Ruifeng Ding
published in: Mathematical Problems in Engineering
publication date: 2019-02-08T00:00:00Z
review text: Summary: This paper presents two methods for dual-rate sampled-data nonlinear output-error systems. One method is the missing output estimation based stochastic gradient identification algorithm and the other method is the auxiliary model based stochastic gradient identification algorithm. Different from the polynomial transformation based identification methods, the two methods in this paper can estimate the unknown parameters directly. A numerical example is provided to confirm the effectiveness of the proposed methods.
Mathematics Subject Classification ID: 93E10
Mathematics Subject Classification ID: 93E12
zbMATH DE Number: 7016190
Wikidata QID: Q59064324
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/329437
OpenAlex ID: W2167199841
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