STFLSTUDIO2/KIT 데이터 시트보기 (PDF) - STMicroelectronics

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STFLSTUDIO2/KIT

8-BIT FUZZY CO-PROCESSOR

STMicroelectronics 

W.A.R.P.2.0

Adaptive Fuzzy Modeller

Adaptive Fuzzy Modeller (AFM) is a tool that easily

allows to obtain a model of a system based on

Fuzzy Logic data structure, starting from the sam-

pling of a process/function expressed in terms of

Input\Output values pairs (patterns).

Its primary capability is the automatic generation of

a database containing the inference rules and the

parameters describing the membership functions.

The generated Fuzzy Logic knowledge base rep-

resents an optimized approximation of the proc-

ess/function provided as input.

The AFM has the capability to translate its project

files to FUZZYSTUDIO™ project files, MAT-

LAB and C code, in order to use this environment

as a support for simulation and control .

The block diagram illustrates the AFMdesign flow.

SUPPORTED TARGETS

The supported environment are:

- W.A.R.P. 1.1 using FUZZYSTUDIO™ 1.0

- W.A.R.P.2.0 using FUZZYSTUDIO™ 2.0

- MATLAB

- C Language

- Fu.L.L. (Fuzzy Logic Language).

SYSTEM REQUIREMENTS

MS-DOS version 3.1or higher

Microsoft Windows 3.0 or compatible later version

486, PENTIUM compatible processor chip

8 MBytes RAM (16 Mbytes recommended)

Hard Disk with at least 1MBytes free space

Figure 27. AFM Design Flow

pattern file

Learning

Phases

Rules

extractor

MFs

tuning

Fuzzy Logic

knowledge base

Simulation

and Manual

Tuning

rules

minimizer

exporter to

processor

W.A.R.P. 1.1

W.A.R.P. 2.0

ANSI C

MATLAB

Table 15. Ordering Information

Order Code

Description

Support ed Target

STFLWARP11/PG

STFLAFM1 0/ SW

WTA-FAMfor Building Rules

BACK-FAM for Building MFs

STFLWARP11/PL

STFLWARP20/PL

ANSI C

MATLAB®

Functionalities

System Requirement

Rules Minimizer

Step-by-Step Simulation

Simulation from File

Local Tuning

MS-DOS 3.1or higher

Windows 3.0 or later

486, PENTIUM compatible

8 MB RAM

26/28

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