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Cited 5 time in webofscience Cited 8 time in scopus
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Advanced Interval Type-2 Fuzzy Sliding Mode Control for Robot Manipulator

Authors
Hwang, Ji-HwanKang, Young-ChangPark, Jong-WookKim, Dong W.
Issue Date
2017
Publisher
HINDAWI LTD
Citation
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE
Journal Title
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/7435
DOI
10.1155/2017/9640849
ISSN
1687-5265
Abstract
In this paper, advanced interval type-2 fuzzy sliding mode control (AIT2FSMC) for robot manipulator is proposed. The proposed AIT2FSMC is a combination of interval type-2 fuzzy system and sliding mode control. For resembling a feedback linearization (FL) control law, interval type-2 fuzzy system is designed. For compensating the approximation error between the FL control law and interval type-2 fuzzy system, sliding mode controller is designed, respectively. The tuning algorithms are derived in the sense of Lyapunov stability theorem. Two-link rigid robot manipulator with nonlinearity is used to test and the simulation results are presented to show the effectiveness of the proposed method that can control unknown system well.
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