New membership functions for effective design and implementation of fuzzy systems

Author

Himavathi, S. ; Umamaheswari, B.

Author_Institution

Dept. of Electr. & Electron. Eng., Pondicherry Eng. Coll., India

Volume

31

Issue

6

fYear

2001

fDate

11/1/2001 12:00:00 AM

Firstpage

717

Lastpage

723

Abstract

The paper proposes new membership functions (mfs) for fuzzy modeling. Existing mfs do not simultaneously satisfy ease in optimization and low-end hardware implementation. The proposed mfs satisfy the two contradicting requirements. The algorithm for hardware implementation is detailed. The performance and applicability of the proposed mfs are illustrated using two well-known benchmarks. Optimized fuzzy models are coded and implemented using the Intel 8XC196KC microcontroller. Results show that the proposed mfs simplify offline design and facilitate online implementation

Keywords

fuzzy control; fuzzy set theory; fuzzy systems; microcontrollers; modelling; optimisation; Intel 8XC196KC microcontroller; contradicting requirements; fuzzy modeling; fuzzy system implementation; hardware implementation; low-end hardware implementation; membership functions; mfs; optimization; optimized fuzzy models; Digital signal processing chips; Fuzzy control; Fuzzy logic; Fuzzy systems; Hardware; Home appliances; Microcontrollers; Optimization methods; Predictive models; Surface fitting;

fLanguage

English

Journal_Title

Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on

Publisher

ieee

ISSN

1083-4427

Type

jour

DOI

10.1109/3468.983428

Filename

983428