The electro-fused magnesia furnace is one of the main equipment used to produce electro-fused magnesia. Aimed at multiple variables

strong nonlinearity and coupling among variables

as well as strong random disturbance of the fused magnesia production process

an intelligent optimal control strategy based on the integration of case-based reasoning and rule-base reasoning was proposed. First

the technical process of fused magnesia production was introduced. Next

the intelligent optimal control strategy including the optimal set model based on rule-based reasoning and the optimal set compensation based on case-based reasoning was discussed in detail. Finally，the intelligent optimal control system was developed and successfully applied to a real fused magnesia production process. The proposed intelligent optimal control strategy demonstrated reliable

accurate and timely control performance.