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Data-Driven Hybrid Neural Fuzzy Network and ARX Modeling Approach to Practical Industrial Process Identification 被引量:7

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摘要 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 identification scheme can provide accurate identification accuracy.
出处 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2022年第9期1702-1705,共4页 自动化学报(英文版)
基金 the National Natural Science Foundation of China(62003151) the Natural Science Foundation of Jiangsu Province(BK20191035) the Changzhou Sci&Tech Program(CJ20220065)。
关键词 ARX EDITOR HYBRID
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