Robust adaptive control using fuzzy-neural controller
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Seo, Jae-Yong | - |
dc.contributor.author | Kim, Seong-Hyun | - |
dc.contributor.author | Jeon, Hong-Tae | - |
dc.date.accessioned | 2022-04-14T09:40:33Z | - |
dc.date.available | 2022-04-14T09:40:33Z | - |
dc.date.issued | 1999-08 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/56564 | - |
dc.description.abstract | This paper proposes an adaptive fuzzy-neural control scheme that yields robust trajectory tracking in the presence of parametric and unstructured uncertainty. The uncertainties include bounded disturbances, dynamic-parametric changes as well as unmodeled dynamics which is dependent on state variables. The proposed method employs fuzzy-neural controller to compensate for uncertain nonlinearity of dynamic system in the traditional direct MRAC system. To improve the robustness of adaptive fuzzy controller and diminish the tracking error boundary, a robust adaptive law is derived from the Lyapunov stability technique and switching σ-scheme, usually applied to adaptive control. Combining fuzzy-neural theory and adaptive control technique, the proposed control will provide better robust tracking control performance than a traditional MRAC. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | IEEE, Piscataway, NJ, United States | - |
dc.title | Robust adaptive control using fuzzy-neural controller | - |
dc.type | Article | - |
dc.identifier.bibliographicCitation | IEEE International Conference on Fuzzy Systems, v.3, pp III - 1305 - III-1308 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-0033280474 | - |
dc.citation.endPage | 1305 - III-1308 | - |
dc.citation.startPage | III | - |
dc.citation.title | IEEE International Conference on Fuzzy Systems | - |
dc.citation.volume | 3 | - |
dc.type.docType | Conference Paper | - |
dc.subject.keywordPlus | Adaptive control systems | - |
dc.subject.keywordPlus | Intelligent control | - |
dc.subject.keywordPlus | Learning systems | - |
dc.subject.keywordPlus | Lyapunov methods | - |
dc.subject.keywordPlus | Manipulators | - |
dc.subject.keywordPlus | Neural networks | - |
dc.subject.keywordPlus | Nonlinear systems | - |
dc.subject.keywordPlus | Robustness (control systems) | - |
dc.subject.keywordPlus | System stability | - |
dc.subject.keywordPlus | Dynamic systems | - |
dc.subject.keywordPlus | Learning control law | - |
dc.subject.keywordPlus | Online control | - |
dc.subject.keywordPlus | Robot manipulator | - |
dc.subject.keywordPlus | Robust trajectory tracking | - |
dc.subject.keywordPlus | Tracking error boundary | - |
dc.subject.keywordPlus | Fuzzy control | - |
dc.description.journalRegisteredClass | scopus | - |
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