Fuzzy evaluation and expert system in classical control system design

Chi Hsu Wang, Wei-Yen Wang, Tsu Tian Lee

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

The purpose of this paper is to develop an expert system for control system design, i.e., ESCSD, with a unique set of fuzzy evaluation rules. Our investigation not only uses expert systems for control system design but also proposes a practical way to use a unique set of fuzzy evaluation rules to suggest a better design method for a given plant. A set of fuzzy evaluation rules extracted from four classical design procedures is proposed. It focuses on how to predict the results of design methods. We deem the fuzzy evaluation rules are predicting tools of an expert system. It is also shown in this paper that the set of fuzzy evaluation rules has been successfully integrated with ESCSD. Several examples are illustrated which show the agreeable result obtained from ESCSD.

Original languageEnglish
Pages (from-to)1198-1204
Number of pages7
JournalProceedings of the American Control Conference
Volume1
Publication statusPublished - 1994 Dec 1
EventProceedings of the 1994 American Control Conference. Part 1 (of 3) - Baltimore, MD, USA
Duration: 1994 Jun 291994 Jul 1

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Expert systems
Systems analysis
Control systems

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Fuzzy evaluation and expert system in classical control system design. / Wang, Chi Hsu; Wang, Wei-Yen; Lee, Tsu Tian.

In: Proceedings of the American Control Conference, Vol. 1, 01.12.1994, p. 1198-1204.

Research output: Contribution to journalConference article

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