Models for heating process — A review

Abstract

This paper presents a review on models for heating process in food, manufacturing and agricultural industries. The review come out with the table to summary on different modeling technique and their developed models for heating process in various applications. There are many techniques to develop the heating process and some of them are numeric, first principle, system identification and a combination of first principle and system identification. During the review, it was found that heating is a linear process and more review for linear model on heating process are done. They are Finite Impulse Response (FIR), Auto-Regressive with Exogenous Input (ARX) model, Auto-Regressive Moving Average (ARMA) model, Auto-Regressive Moving Average with Exogenous Input (ARMAX) model, Output-Error (OE) model and Box-Jenkins (BJ) model. Among all, the review has highlighted that ARX model is the simplest structure, easy to find analytical solutions and provide excellent performance.