Fuzzy multi-model based adaptive predictive control and its application to thermoplastic injection molding

Many chemical processes are inherently nonlinear. A single linear model is ineffective for these processes. Several local linear models may be developed for different operating conditions. A combination of these local models, through a fuzzy logic representation, results in an overall model for a wi...

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Bibliographic Details
Published in:	Canadian journal of chemical engineering Vol. 79; no. 2; pp. 263 - 272
Main Authors:	Li, Mingzhong, Yang, Yi, Gao, Furong, Wang, Fuli
Format:	Journal Article
Language:	English
Published:	Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.04.2001 Wiley
Subjects:	Applied sciences competitive learning algorithm Exact sciences and technology fuzzy multi-model injection molding Injection moulding Machinery and processing Moulding Plastics Polymer industry, paints, wood predictive control Technology of polymers weighted recursive least squares algorithm Fuzzy logic Thermoplastics Least squares method Process control Injection molding Recursive method SISO system Non linear system Learning algorithm Adaptive control Predictive control
ISSN:	0008-4034, 1939-019X
Online Access:	Get full text
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