Universal learning network-based fuzzy control

  • Hirasawa, K. (Department of Electrical Engineering, Kyushu University) ;
  • Wu, R. (Department of Electrical Engineering, Kyushu University) ;
  • Ohbayashi, M. (Department of Electrical Engineering, Kyushu University)
  • Published : 1995.10.01

Abstract

In this paper we present a method to construct fuzzy model with multi-dimension input membership function, which can construct fuzzy inference system on one node of the network directly. This method comes from a common framework called Universal Learning Network (ULN). The fuzzy model under the framework of ULN is called Universal Learning Network-based Fuzzy Inference System (ULNFIS), which possesses certain advantages over other networks such as neural network. We also introduce how to imitate a real system with ULN and a control scheme using ULNFIS.