Novel Fuzzy-Modeling-Based Adaptive Synchronization of Nonlinear Dynamic Systems
Joint Authors
Li, Shih-Yu
Tam, Lap-Mou
Chen, Chin-Sheng
Tsai, Shun-Hung
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-07
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
In this paper, a novel fuzzy-model-based adaptive synchronization scheme and its fuzzy update laws of parameters are proposed to address the adaptive synchronization problem.
The proposed fuzzy controller does not share the same premise of fuzzy system, and the numbers of fuzzy controllers is reduced effectively through the novel modeling strategy.
In addition, based on the adaptive synchronization scheme, the error dynamic system can be guaranteed to be asymptotically stable and the true values of unknown parameters can be obtained.
Two identical complicated dynamic systems, Mathieu-Van der pol system (M-V system) with uncertainties, are illustrated for numerical simulation example to show the effectiveness and feasibility of the proposed novel adaptive control strategy.
American Psychological Association (APA)
Li, Shih-Yu& Chen, Chin-Sheng& Tam, Lap-Mou& Tsai, Shun-Hung. 2017. Novel Fuzzy-Modeling-Based Adaptive Synchronization of Nonlinear Dynamic Systems. Complexity،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1142973
Modern Language Association (MLA)
Li, Shih-Yu…[et al.]. Novel Fuzzy-Modeling-Based Adaptive Synchronization of Nonlinear Dynamic Systems. Complexity No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1142973
American Medical Association (AMA)
Li, Shih-Yu& Chen, Chin-Sheng& Tam, Lap-Mou& Tsai, Shun-Hung. Novel Fuzzy-Modeling-Based Adaptive Synchronization of Nonlinear Dynamic Systems. Complexity. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1142973
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142973