Interval Type-2 Fuzzy Neural Network based Adaptive Iterative Learning Control of Robotic Systems

碩士 === 華梵大學 === 電子工程學系碩士班 === 99 === For iterative learning control problem of unknown robotic systems with initial resetting errors, we propose an interval type-2 fuzzy neural network based indirect adaptive iterative learning control system in this thesis. A time-varying boundary layer is first in...

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Bibliographic Details
Main Authors: Ting,Kai-Shin, 丁楷鑫
Other Authors: Wang,Ying-Chung
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/52088654188829632384