Fuzzy rules emulated network and its application on nonlinear control systems
In this paper, the discrete-time nonlinear systems identification and control based on an adaptive filter are introduced. This adaptive filter is implemented using the adaptive network called Multi Input Fuzzy Rules Emulated Network (MiFren). Inspired by the neuro-fuzzy network, the structure of MiF...
محفوظ في:
المؤلف الرئيسي: | C. Treesatayapun |
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التنسيق: | دورية |
منشور في: |
2018
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الموضوعات: | |
الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=37249049900&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/60301 |
الوسوم: |
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المؤسسة: | Chiang Mai University |
مواد مشابهة
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Adaptive controller with fuzzy rules emulated structure and its applications
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Fuzzy-rule emulated networks, based on reinforcement learning for nonlinear discrete-time controllers
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Adaptive controller with fuzzy rules emulated structure and its applications
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Direct adaptive control of nonlinear systems via implicit function emulation
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