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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Vydáno v:	Canadian journal of chemical engineering Ročník 79; číslo 2; s. 263 - 272
Hlavní autoři:	Li, Mingzhong, Yang, Yi, Gao, Furong, Wang, Fuli
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.04.2001 Wiley
Témata:	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
On-line přístup:	Získat plný text
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