Identification of Two-Time Scaled Systems Using Prefilters
Joint Authors
Cavalcanti, Anderson L. O.
Kienitz, Karl H.
Kadirkamanathan, Visakan
Source
Journal of Control Science and Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-03
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
This paper deals with the identification of two-time scale linear dynamic systems, which are an important class of multiscale systems.
Classical identification processes may fail to yield accurate parameters for systems of this class and, for this reason, the authors propose two different techniques to estimate the system parameters.
The first technique utilizes two prefilters that are iteratively tuned.
The second one considers wavelet filters that are tuned based on the results of the first iterative algorithm.
Identification and analysis results for a dynamical aircraft model are shown to demonstrate the algorithm’s performance.
American Psychological Association (APA)
Cavalcanti, Anderson L. O.& Kienitz, Karl H.& Kadirkamanathan, Visakan. 2018. Identification of Two-Time Scaled Systems Using Prefilters. Journal of Control Science and Engineering،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1182934
Modern Language Association (MLA)
Cavalcanti, Anderson L. O.…[et al.]. Identification of Two-Time Scaled Systems Using Prefilters. Journal of Control Science and Engineering No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1182934
American Medical Association (AMA)
Cavalcanti, Anderson L. O.& Kienitz, Karl H.& Kadirkamanathan, Visakan. Identification of Two-Time Scaled Systems Using Prefilters. Journal of Control Science and Engineering. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1182934
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1182934