GA-based Sugeno-type fuzzy logic controller for the cart-pole system

M. Y. Shieh, C. W. Huang, Tzuu-Hseng S. Li

Research output: Contribution to conferencePaperpeer-review

4 Citations (Scopus)

Abstract

In this paper, the genetic algorithms (GAs) are applied to find out the nearly optimal fuzzy rule-base for Sugeno-type fuzzy logic controllers (S-FLC). Basically, S-FLC is a model-based fuzzy controller with a fuzzy model identified by input-output data of an objective system. Unlike the traditional FLC, the rule number of S-FLC is drastically reduced. A GA-based S-FLC is proposed for balancing the inverted pendulum, where GAs are utilized to decide the coefficients of control rules without identifying a fuzzy model. The computer simulations depict the validity of the control method and better performance is obtained by using genetic algorithm.

Original languageEnglish
Pages1028-1033
Number of pages6
Publication statusPublished - 1997 Dec 1
EventProceedings of the 1997 23rd Annual International Conference on Industrial Electronics, Control, and Instrumentation, IECON. Part 2 (of 4) - New Orleans, LA, USA
Duration: 1997 Nov 91997 Nov 14

Other

OtherProceedings of the 1997 23rd Annual International Conference on Industrial Electronics, Control, and Instrumentation, IECON. Part 2 (of 4)
CityNew Orleans, LA, USA
Period97-11-0997-11-14

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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