Data-Driven Hybrid Neural Fuzzy Network and ARX Modeling Approach to Practical Industrial Process Identification

Dear editor, This letter presents a practical industrial process identification scheme. More specifically, to improve the identification accuracy of practical process, a decoupled identification scheme is developed based on neural fuzzy network and autoregressive exogenous (ARX) model, which is based on multi-signal sources. The multiple signal sources include binary signals and random signals. Experimental results of pH neutralization process show that developed identifi-cation scheme can provide accurate identification accuracy.