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Optimal control for spatial-temporal distributed nonlinear autoregressive with exogenous inputs correlation model of steel rolling reheating furnace: a coordinated time-sharing control approach
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作者 Qingfeng Bao Sen zhang +2 位作者 Jin Guo Zhiqiang Li zhenquan zhang 《Control Theory and Technology》 EI CSCD 2023年第2期190-211,共22页
Accurate control of slab temperature and heating rate is an important significance to improve product performance and reduce carbon emissions for steel rolling reheating furnace(SRRF).Firstly,a spatial temporal distri... Accurate control of slab temperature and heating rate is an important significance to improve product performance and reduce carbon emissions for steel rolling reheating furnace(SRRF).Firstly,a spatial temporal distributed-nonlinear autoregressive with exogenous inputs correlation model(STD-NARXCM)to spatial temporal distributed-autoregressive with exogenous inputs correlation model(STD-ARXCM)in working point is established.Secondly,a new coordinated time-sharing control architecture in different time periods is proposed,which is along the length of the SRRF to improve the control performance.Thirdly,a hybrid control algorithm of expert-fuzzy is proposed to improve the dynamic of the temperature and the heating rate during time period 0 to t_(1).A hybrid control algorithm of expert-fuzzy-PID is proposed to enhance the control accuracy and the heating rate during time period t_(1) to t_(2).A hybrid control algorithm of expert-active disturbance rejection control(ADRC)is proposed to boost the anti-interference and the heating rate during time period t_(2) to t_(3).Finally,the experimental results show that the coordinated time-sharing algorithm can meet the process requirements,the maximum deviation of temperature value is 8-13.5℃. 展开更多
关键词 Steel rolling reheating furnace Spatial-temporal distribution Coordinated time-sharing control Controller structure in different periods Hybrid control algorithm
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The First Outbreak of Omicron Subvariant BA.5.2—Beijing Municipality,China,July 4,2022 被引量:5
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作者 Zhaomin Feng Ying Shen +8 位作者 Shuang Li Jia Li Shaohua Wang zhenquan zhang Yunkui Shen Fu Li Yang Pan Quanyi Wang Da Huo 《China CDC weekly》 2022年第30期667-668,共2页
On July 4,2022,the first case of Omicron subvariant BA.5.2 in Beijing Municipality was discovered in Yanqing District.The case was a 49-yearold Chinese male who had arrived in Shanghai Municipality via international f... On July 4,2022,the first case of Omicron subvariant BA.5.2 in Beijing Municipality was discovered in Yanqing District.The case was a 49-yearold Chinese male who had arrived in Shanghai Municipality via international flight DL9927 from North Carolina,U.S.on June 15.He stayed in a hotel for the 14-day arrival quarantine and was discharged on June 30.He arrived in Beijing via domestic flight MU5103 on July 1 and was transferred point-to-point from the airport to his residence community in Yanqing District.On July 3,his sample was collected through community mass screening and reported positive in the next morning.The case had received 3 doses of Moderna’s mRNA vaccines in the U.S.,with the last shot on May 26,2022. 展开更多
关键词 AIRPORT TRANSFERRED doses
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Exact distributions for stochastic models of gene expression with arbitrary regulation
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作者 Zihao Wang zhenquan zhang Tianshou Zhou 《Science China Mathematics》 SCIE CSCD 2020年第3期485-500,共16页
Stochasticity in gene expression can result in fluctuations in gene product levels. Recent experiments indicated that feedback regulation plays an important role in controlling the noise in gene expression.A quantitat... Stochasticity in gene expression can result in fluctuations in gene product levels. Recent experiments indicated that feedback regulation plays an important role in controlling the noise in gene expression.A quantitative understanding of the feedback effect on gene expression requires analysis of the corresponding stochastic model. However, for stochastic models of gene expression with general regulation functions, exact analytical results for gene product distributions have not been given so far. Here, we propose a technique to solve a generalized ON-OFF model of stochastic gene expression with arbitrary(positive or negative, linear or nonlinear) feedbacks including posttranscriptional or posttranslational regulation. The obtained results, which generalize results obtained previously, provide new insights into the role of feedback in regulating gene expression. The proposed analytical framework can easily be extended to analysis of more complex models of stochastic gene expression. 展开更多
关键词 gene expression ON-OFF model feedback regulation chemical master equation stationary distribution
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