A simplified interval type-2 fuzzy CMAC

Chia Wen Chang, Wen Rong Xiao, Chih Ching Hsiao, Song Shyong Chen, Chin Wang Tao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

This paper presents a simplified interval type-2 fuzzy CMAC controller which it can be seen as the combination of two type-1 fuzzy controller. The proposed controller modified CMAC architecture and simplified the interval type-2 fuzzy system to reduce computing complex and to have the optimal performance. Moreover, the problem of the synchronizing chaotic system is provided to demonstrate the effectiveness of the provided control scheme. Simulation results illustrate that the states of slave system can follow the state of the master system with the uncertainty and disturbance.

Original languageEnglish
Title of host publicationIFSA-SCIS 2017 - Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509049172
DOIs
StatePublished - 30 08 2017
Externally publishedYes
Event17th Joint World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, IFSA-SCIS 2017 - Otsu, Japan
Duration: 27 06 201730 06 2017

Publication series

NameIFSA-SCIS 2017 - Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems

Conference

Conference17th Joint World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, IFSA-SCIS 2017
Country/TerritoryJapan
CityOtsu
Period27/06/1730/06/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

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