Use of Cluster Analysis in Process Control

Autor:	S.-L Jämsä-Jounela, J. Miettunen, R. Ylinen
Rok vydání:	1993
Předmět:	In process control Computer science Multivariate random variable Simple (abstract algebra) Control system Linear model Cluster (physics) Data mining Control (linguistics) computer.software_genre Cluster analysis computer
Zdroj:	IFAC Proceedings Volumes. 26:645-648
ISSN:	1474-6670
DOI:	10.1016/s1474-6670(17)48548-x
Popis:	The paper presents a new method for modelling of complex processes containing unkown qualitative varlables. The method is based on grouping the input-output-palrs of the model into a finite nunlber of clusters each representing different values of unknown qualitative variables. An online clustering algorithm is derived from assumption that each cluster consists of realizations of some normally distributed random vector. An expert control system using the cluster model together WIth sImple static linear models for decision of necessary control actions is outlined. The method has been applied to real data from mineral processes.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d04b9f54529e98f408d7964d6563bae3 https://doi.org/10.1016/s1474-6670(17)48548-x Zobrazit plný text záznamu