Design of fuzzy sliding controller based on cerebellar learning model

Heng Kang Fan, Chih Ming Chen, Chin Ming Hong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

As to the control of fuzzy sliding mode, this paper proposes a cerebellar learning model for on-line learning of the controller. Fuzzy sliding mode has excellent robustness to the system uncertainty and immunity to the noise of the external noise. As for the cerebellar learning mode, it possesses the advantages of easy and fast correction. The combination of the two leads to the design of a fuzzy sliding mode controller with self-learning capability to improve the short-comings of difficulties in setting up the regulations of fuzzy control. It also improves the system stability and enhances the effectiveness of the controller.This paper describes the implementation of a fuzzy sliding controller with cerebellar learning mode. After system simulation and capability test, it is applied to the control of slew-up, stand-on and positioning of a 360 ° inverted pendulum.

Original languageEnglish
Title of host publicationMultiple Approaches to Intelligent Systems - 12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems IEA/AIE 1999, Proceedings
EditorsIbrahim Imam, Yves Kodratoff, Ayman El-Dessouki, Moonis Ali
PublisherSpringer Verlag
Pages64-73
Number of pages10
ISBN (Print)3540660763, 9783540660767
DOIs
Publication statusPublished - 1999 Jan 1
Event12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 1999 - Cairo, Egypt
Duration: 1999 May 311999 Jun 3

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1611
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 1999
CountryEgypt
CityCairo
Period99/5/3199/6/3

Keywords

  • Cerebellar model articulation controller
  • Fuzzy control
  • Inverted pendulum
  • Sliding mode
  • Variable structure system

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Design of fuzzy sliding controller based on cerebellar learning model'. Together they form a unique fingerprint.

  • Cite this

    Fan, H. K., Chen, C. M., & Hong, C. M. (1999). Design of fuzzy sliding controller based on cerebellar learning model. In I. Imam, Y. Kodratoff, A. El-Dessouki, & M. Ali (Eds.), Multiple Approaches to Intelligent Systems - 12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems IEA/AIE 1999, Proceedings (pp. 64-73). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1611). Springer Verlag. https://doi.org/10.1007/978-3-540-48765-4_9