A KNOWLEDGE-BASE FOR AN EXPERT IDENTIFICATION PACKAGE

被引：4

作者：

SZAFNICKI, K ^{[1
]}

GENTIL, S ^{[1
]}

机构：

[1] LAB AUTOMAT GRENOBLE, CNRS, URA 228, F-38402 ST MARTIN DHERES, FRANCE

来源：

CONTROL ENGINEERING PRACTICE | 1995年 / 3卷 / 06期

关键词：

EXPERT SYSTEMS; IDENTIFICATION; PARAMETER ESTIMATION; OBJECT-ORIENTED REPRESENTATION; FUZZY SETS THEORY;

D O I：

10.1016/0967-0661(95)00061-X

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The main aspects of an expert system for process identification are presented. The knowledge base acts as a supervisor, alternating its reasoning concerning the model structure selection, with numerical parameter-estimation. The knowledge representation relies on a mixed structure: an object-oriented representation and production rules. Fuzzy compatibility functions an used for the numerical-symbolic conversion of values supplied by the parameter estimation module. The strategy for an ''optimal'' model structure search has been implemented for SISO as well as MISO processes. The performance of the export system is illustrated on a real MISO case study.

引用

页码：783 / 792

页数：10

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