INTELLIGENT KNOWLEDGE-BASED PROCESS CONTROL.

J. C. Francis; R. R. Leitch

INTELLIGENT KNOWLEDGE-BASED PROCESS CONTROL.

J. C. Francis, R. R. Leitch

School of Mathematical & Computer Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Citations (Scopus)

Abstract

This paper reports work directed at developing a control methodology based on the techniques of symbolic computation. In particular, it describes the notion of a symbolic model and shows how this can be derived on the basis of causal relationships between subsystems of a plant. Experimental results from a fluid level control problem, achieved using an expert system shell, are presented.

Original language	English
Title of host publication	IEE Conference Publication
Pages	483-488
Number of pages	6
Edition	252
Publication status	Published - 1985

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title = "INTELLIGENT KNOWLEDGE-BASED PROCESS CONTROL.",

abstract = "This paper reports work directed at developing a control methodology based on the techniques of symbolic computation. In particular, it describes the notion of a symbolic model and shows how this can be derived on the basis of causal relationships between subsystems of a plant. Experimental results from a fluid level control problem, achieved using an expert system shell, are presented.",

author = "Francis, \{J. C.\} and Leitch, \{R. R.\}",

year = "1985",

language = "English",

isbn = "0852963149",

pages = "483--488",

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edition = "252",

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T1 - INTELLIGENT KNOWLEDGE-BASED PROCESS CONTROL.

AU - Francis, J. C.

AU - Leitch, R. R.

PY - 1985

Y1 - 1985

N2 - This paper reports work directed at developing a control methodology based on the techniques of symbolic computation. In particular, it describes the notion of a symbolic model and shows how this can be derived on the basis of causal relationships between subsystems of a plant. Experimental results from a fluid level control problem, achieved using an expert system shell, are presented.

AB - This paper reports work directed at developing a control methodology based on the techniques of symbolic computation. In particular, it describes the notion of a symbolic model and shows how this can be derived on the basis of causal relationships between subsystems of a plant. Experimental results from a fluid level control problem, achieved using an expert system shell, are presented.

M3 - Conference contribution

SN - 0852963149

SP - 483

EP - 488

BT - IEE Conference Publication

ER -

INTELLIGENT KNOWLEDGE-BASED PROCESS CONTROL.

Abstract

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