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Novel-fuzzy-model based modeling and control of nonlinear chaotic systems with uncertainty
Tam L.-M.; Li S.-Y.
2015
Conference NameInternational Conference on Advanced Robotics and Intelligent Systems (ARIS)
Source Publication2015 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2015
Conference DateMAY 29-31, 2015
Conference PlaceTaipei, TAIWAN
Abstract

Chaos is observed in many practical applications in engineering, biology and economics, which is an interdisciplinary research topic and received great attention from various kinds of fields. Chaos studies the behavior of dynamical systems that are highly sensitive to initial conditions. Therefore, a practical tool for mathematical modeling is essential. Ge and Li provide a simple fuzzy model to extend the classical Takagi-Sugeno fuzzy model and try to re-annotate the possibility of Fuzzy logic concept in the end of 2011. This novel model brings the idea of modeling each equation and has been cited by several research and application articles and reports over 20 times covered with chemistry simulation, time delay model and so on. In this study, Sprott series system with uncertainties is illustrated in numerical simulations to show the effectiveness and feasibility of the proposed fuzzy model and the corresponding control scheme.

KeywordChaotic System With Uncertainty Fuzzy Control Novel Fuzzy Model
DOI10.1109/ARIS.2015.7158361
URLView the original
Language英語English
WOS IDWOS:000380518000013
Scopus ID2-s2.0-84962833435
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Citation statistics
Document TypeConference paper
CollectionUniversity of Macau
AffiliationUniversidade de Macau
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Tam L.-M.,Li S.-Y.. Novel-fuzzy-model based modeling and control of nonlinear chaotic systems with uncertainty[C], 2015.
APA Tam L.-M.., & Li S.-Y. (2015). Novel-fuzzy-model based modeling and control of nonlinear chaotic systems with uncertainty. 2015 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2015.
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