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Novel fuzzy-modeling-based adaptive synchronization of nonlinear dynamic systems
Li S.-Y.3; Chen C.-S.3; Tam L.-M.1; Tsai S.-H.3
2017
Source PublicationComplexity
ISSN10990526 10762787
Volume2017
AbstractIn 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.
DOI10.1155/2017/5017127
URLView the original
Language英語
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Cited Times [WOS]:1   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.Institute for the Development and Quality
2.Universidade de Macau
3.National Taipei University of Technology
Recommended Citation
GB/T 7714
Li S.-Y.,Chen C.-S.,Tam L.-M.,et al. Novel fuzzy-modeling-based adaptive synchronization of nonlinear dynamic systems[J]. Complexity,2017,2017.
APA Li S.-Y.,Chen C.-S.,Tam L.-M.,&Tsai S.-H..(2017).Novel fuzzy-modeling-based adaptive synchronization of nonlinear dynamic systems.Complexity,2017.
MLA Li S.-Y.,et al."Novel fuzzy-modeling-based adaptive synchronization of nonlinear dynamic systems".Complexity 2017(2017).
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