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 identification scheme can provide accurate identification accuracy.

Estimation of Hammerstein nonlinear systems with noises using filtering and recursive approaches for industrial control

This paper discusses a strategy for estimating Hammerstein nonlinear systems in the presence of measurement noises for industrial control by applying filtering and recursive approaches.The proposed Hammerstein nonlinear systems are made up of a neural fuzzy network(NFN)and a linear state`-space model.The estimation of parameters for Hammerstein systems can be achieved by employing hybrid signals,which consist of step signals and random signals.First,based on the characteristic that step signals do not excite static nonlinear systems,that is,the intermediate variable of the Hammerstein system is a step signal with different amplitudes from the input,the unknown intermediate variables can be replaced by inputs,solving the problem of unmeasurable intermediate variable information.In the presence of step signals,the parameters of the state-space model are estimated using the recursive extended least squares(RELS)algorithm.Moreover,to effectively deal with the interference of measurement noises,a data filtering technique is introduced,and the filtering-based RELS is formulated for estimating the NFN by employing random signals.Finally,according to the structure of the Hammerstein system,the control system is designed by eliminating the nonlinear block so that the generated system is approximately equivalent to a linear system,and it can then be easily controlled by applying a linear controller.The effectiveness and feasibility of the developed identification and control strategy are demonstrated using two industrial simulation cases.

A de novo missense mutation in MPP2 confers an increased risk of Vogt–Koyanagi–Harada disease as shown by trio-based whole-exome sequencing

Vogt–Koyanagi–Harada(VKH)disease is a leading cause of blindness in young and middle-aged people.However,the etiology of VKH disease remains unclear.Here,we performed the first trio-based whole-exome sequencing study,which enrolled 25 VKH patients and 50 controls,followed by a study of 2081 VKH patients from a Han Chinese population to uncover detrimental mutations.A total of 15 de novo mutations in VKH patients were identified,with one of the most important being the membrane palmitoylated protein 2(MPP2)p.K315N(MPP2-N315)mutation.The MPP2-N315 mutation was highly deleterious according to bioinformatic predictions.Additionally,this mutation appears rare,being absent from the 1000 Genome Project and Genome Aggregation Database,and it is highly conserved in 10 species,including humans and mice.Subsequent studies showed that pathological phenotypes and retinal vascular leakage were aggravated in MPP2-N315 mutation knock-in or MPP2-N315 adeno-associated virus-treated mice with experimental autoimmune uveitis(EAU).In vitro,we used clustered regularly interspaced short palindromic repeats(CRISPR‒Cas9)gene editing technology to delete intrinsic MPP2 before overexpressing wild-type MPP2 or MPP2-N315.Levels of cytokines,such as IL-1β,IL-17E,and vascular endothelial growth factor A,were increased,and barrier function was destroyed in the MPP2-N315 mutant ARPE19 cells.Mechanistically,the MPP2-N315 mutation had a stronger ability to directly bind to ANXA2 than MPP2-K315,as shown by LC‒MS/MS and Co-IP,and resulted in activation of the ERK3/IL-17E pathway.Overall,our results demonstrated that the MPP2-K315N mutation may increase susceptibility to VKH disease.

运输成本、生产率差异与我国制造业劳动收入份额

本文构建了一个异质企业、资本内生的空间经济学模型,试图对我国制造业劳动收入份额下降现象进行解释。理论模型结论表明,运输成本的下降与生产率差异的扩大都会降低制造业劳动收入份额;在此基础上,本文利用1999—2014年我国省际面板数据,实证检验证实了本文理论模型的结论,该结论在进一步的稳健性检验中也是成立的。本文认为,市场力量在空间上的作用是导致制造业劳动收入份额下降的重要原因。