Intelligent modeling and control of washing machine using LLNF modeling and modified BELBIC

Intelligent control of home appliances, have 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, we use two techniques that we have successfully used in other intelligent modeling and control applications. Firstly, we use a neuro-fuzzy locally linear model system for data driven modeling of the machine. Secondly, we 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.