UM  > Faculty of Science and Technology  > DEPARTMENT OF ELECTROMECHANICAL ENGINEERING
Status已發表Published
Novel Fuzzy-Modeling-Based Adaptive Synchronization of Nonlinear Dyamic Systems
Li, S. Y.; Chen, C. S.; Tam, L. M.; Tsai, S. H.
2017-03-01
Source PublicationComplexity
ISSN1099-0526
Pages1-8
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.
KeywordFuzzy Model Nonlinear Systems
Language英語English
The Source to ArticlePB_Publication
PUB ID28899
Document TypeJournal article
CollectionDEPARTMENT OF ELECTROMECHANICAL ENGINEERING
Corresponding AuthorTsai, S. H.
Recommended Citation
GB/T 7714
Li, S. Y.,Chen, C. S.,Tam, L. M.,et al. Novel Fuzzy-Modeling-Based Adaptive Synchronization of Nonlinear Dyamic Systems[J]. Complexity, 2017, 1-8.
APA Li, S. Y.., Chen, C. S.., Tam, L. M.., & Tsai, S. H. (2017). Novel Fuzzy-Modeling-Based Adaptive Synchronization of Nonlinear Dyamic Systems. Complexity, 1-8.
MLA Li, S. Y.,et al."Novel Fuzzy-Modeling-Based Adaptive Synchronization of Nonlinear Dyamic Systems".Complexity (2017):1-8.
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