Data-Driven Hybrid Neural Fuzzy Network and ARX Modeling Approach to Practical Industrial Process Identification
نویسندگان
چکیده
Dear editor, This letter presents a practical industrial process identification scheme. More specifically, to improve the accuracy of process, decoupled scheme is developed based on neural fuzzy network and autoregressive exogenous (ARX) model, which multi-signal sources. The multiple signal sources include binary signals random signals. Experimental results pH neutralization show that identifi-cation can provide accurate accuracy.
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ژورنال
عنوان ژورنال: IEEE/CAA Journal of Automatica Sinica
سال: 2022
ISSN: ['2329-9274', '2329-9266']
DOI: https://doi.org/10.1109/jas.2022.105821