Intelligent modeling and control of washing machine using locally linear neuro-fuzzy (LLNF) modeling and modified brain emotional learning based intelligent controller (BELBIC)

Caro Lucas, Rasoul M. Milasi, Babak N. Araabi

Research output: Contribution to journalArticlepeer-review

69 Scopus citations

Abstract

Intelligent control of home appliances has, in recent years, attracted much theoretical attention, as well as becoming a major factor for industrial and economic success and rapid market penetration. Washing machines represent an important market. Intelligent control techniques are capable of providing useful means for both easier use and energy and water conservation. In this paper, the authors use two techniques that have successfully been used in other intelligent modeling and control applications. Firstly, the authors use a neuro-fuzzy locally linear model tree system for data driven modeling of the machine. Secondly, the authors use a neural computing technique, based on a mathematical model of amygdala and the limbic system, for emotional control of the washing machine. The obtained results indicate the applicability of the proposed techniques in this important business sector.

Original languageEnglish (US)
Pages (from-to)393-400
Number of pages8
JournalAsian Journal of Control
Volume8
Issue number4
DOIs
StatePublished - Dec 2006

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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