Data-Driven Learning-Based Fault Tolerant Stability Analysis
Joint Authors
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-09
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
In this paper, a new data-driven learning method is investigated based on the dynamical data of the system.
A regularized regression wavelet (RRW) approach is proposed to optimize the learning result for the system fault.
Based on the optimizing results, a fault tolerant stability scheme is given.
Then, the efficiency of the proposed technique is verified by a vertical take-off and landing (VTOL) aircraft stability example.
American Psychological Association (APA)
Ge, Lei& Chen, Shun. 2020. Data-Driven Learning-Based Fault Tolerant Stability Analysis. Complexity،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1139974
Modern Language Association (MLA)
Ge, Lei& Chen, Shun. Data-Driven Learning-Based Fault Tolerant Stability Analysis. Complexity No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1139974
American Medical Association (AMA)
Ge, Lei& Chen, Shun. Data-Driven Learning-Based Fault Tolerant Stability Analysis. Complexity. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1139974
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139974
