Fuzzy-rule emulated networks, based on reinforcement learning for nonlinear discrete-time controllers

Fuzzy-rule emulated networks, based on reinforcement learning for nonlinear discrete-time controllers

This article introduces an adaptive controller for a class of nonlinear discrete-time systems, based on self adjustable networks called Multi-Input Fuzzy Rules Emulated Networks (MIFRENs), and its reinforcement learning algorithm. Because of the universal function approximation of MIFREN, the first...

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書目詳細資料
主要作者:	Chidentree Treesatayapun
格式:	雜誌
出版:	2018
主題:	Computer Science Engineering Mathematics Physics and Astronomy
在線閱讀:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=50249134186&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/60297
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Chiang Mai University

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