Linguistic hedges and fuzzy rule base systems

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

1 Citation (Scopus)

Abstract

A novel fuzzy logic controller called linguistic-hedge fuzzy logic controller and its hardware implementation in a mixed-signal approach is presented in this paper. Several major characteristics of this controller are: 1) only three simple-shape membership functions are required for characterizing each variable; 2) nine rules are enough for inference; 3) both architecture and hardware design complexity are small. For the implementation, a current-mode approach is adopted in designing the signal processing portions to simplify the circuit complexity; digital circuits are adopted to implement the programmable units. This design was fabricated with a TSMC 0.35μm single-polysilicon- quadruple-metal CMOS process. In this chip, the LHFLC processes two input variables and one output variable. Under a supply voltage of 3.3 V. The speed of inference operation goes up to 0.5M FLIPS that is fast enough for the control application of the cart-pole balance system.

Original languageEnglish
Title of host publicationProceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Pages1724-1727
Number of pages4
DOIs
Publication statusPublished - 2003
Event2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 - Nanjing, China
Duration: 2003 Dec 142003 Dec 17

Publication series

NameProceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Volume2

Other

Other2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Country/TerritoryChina
CityNanjing
Period03-12-1403-12-17

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Networks and Communications

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