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Two Identification Methods for Dual-Rate Sampled-Data Nonlinear Output-Error Systems
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-10
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Chen, Jing& Ding, Ruifeng. 2014. Two Identification Methods for Dual-Rate Sampled-Data Nonlinear Output-Error Systems. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-464023
Modern Language Association (MLA)
Chen, Jing& Ding, Ruifeng. Two Identification Methods for Dual-Rate Sampled-Data Nonlinear Output-Error Systems. Mathematical Problems in Engineering No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-464023
American Medical Association (AMA)
Chen, Jing& Ding, Ruifeng. Two Identification Methods for Dual-Rate Sampled-Data Nonlinear Output-Error Systems. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-464023
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-464023