Generic Model Adaptive Control

Signal P.D. and Lee P.L. (1992) Generic Model Adaptive Control. Chemical Engineering Communications, 115 1: 35-52. doi:10.1080/00986449208936027

Author Signal P.D.
Lee P.L.
Title Generic Model Adaptive Control
Journal name Chemical Engineering Communications   Check publisher's open access policy
ISSN 1563-5201
Publication date 1992-04-01
Sub-type Article (original research)
DOI 10.1080/00986449208936027
Volume 115
Issue 1
Start page 35
End page 52
Total pages 18
Language eng
Subject 1500 Chemical Engineering
1600 Chemistry
Abstract Generic Model Control (GMC) is a process model based control algorithm incorporating a process model directly within the control structure. It has been shown to produce excellent control, despite reasonable modelling errors. In this paper an algorithm is developed within a GMC framework which reduces the effect of larger modelling errors by regularly updating the model parameters. This new adaptive algorithm is capable of adapting model parameters in a nonlinear model, where the parameters appear in a nonlinear manner. Several examples are presented to illustrate the principles of the techniaue.
Keyword Adaptive control
Generic model control
Nonlinear control
Parameter estimation
Process/model mismatch
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collection: Scopus Import
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Citation counts: Scopus Citation Count Cited 27 times in Scopus Article | Citations
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Created: Tue, 12 Jul 2016, 12:14:00 EST by System User