Fuzzy control rules extraction from perception-based information using computing with words

  • Authors:

  • Changjiu Zhou;Da Ruan

  • Affiliations:

  • School of Electrical and Electronic Engineering, Singapore Polytechnic, 500 Dover Road 139651, Singapore;Belgian Nuclear Research Centre (SCK.CEN), Boeretang 200, B-2400 Mol, Belgium

  • Venue:
  • Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Intelligent information systems and applications
  • Year:
  • 2002

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Abstract

In this paper, a novel approach to extract fuzzy control rules from perception-based information using computing with words (CW) is firstly presented. The approach is based on applying fuzzy numbers and their arithmetic operations. The fuzzy Lyapunov synthesis, which gives a linguistic description on the plant and the control objective, is used to design a stable fuzzy controller. Secondly, that the traditional fuzzy-control rules can be derived systematically, rather than heuristically, and their stability can be guaranteed is demonstrated. Moreover, by introducing fuzzy numbers and their arithmetic operations, the "words" represented by fuzzy numbers could be efficiently manipulated for fuzzy controller design. The performance and applicability of the proposed method are illustrated through the practical implementation of fuzzy control of a pole-balancing vehicle.