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| 1 | Hybrid event-and time-triggered control for double-integrator heterogeneous networks显示文摘This paper investigates the state consensus for double-integrator networks under heterogeneous interaction topologies. For double-integrator networks, the setting of heterogeneous topologies means that position and velocity information flows are modeled by two different graphs. The corresponding protocol proposed in this paper is based on edge-event-triggered control. The events based on position information are irrelevant to velocity information and independent of the events based on velocity information. And for different edges, the corresponding events are activated independently of each other. Once an event occurs,the agents connected by the associated edge will sample their corresponding relative state information and update their corresponding controllers. Furthermore, under the presented event-triggering rules, the state consensus of double-integrator networks can be achieved by designing appropriate parameters. In addition,the proposed protocol with the event-triggering rules can effectively improve the system performance and avoid the occurrence of Zeno behaviors. Finally, a simulation example is worked out to verify the theoretical analysis. | Gaopeng DUAN Feng XIAO Long WANG | 2019 | Science China(Information Sciences)2019，62，2： | 5 |
| 2 | Angle-fre- quency estimation using trilinear decomposition of the oversampled output显示文摘 | Zhang Xiaofei Feng Gaopeng Yu Jun | 2008 | Wireless Personal Communica- tions2008，51，2： | 1 |
| 3 | Understanding the dynamical-microphysical-electrical processes associated with severe thunderstorms over the Beijing metropolitan region显示文摘The Dynamical-microphysical-electrical Processes in Severe Thunderstorms and Lightning Hazards(STORM973)project conducted coordinated comprehensive field observations of thunderstorms in the Beijing metropolitan region(BMR)during the warm season from 2014 to 2018.The aim of the project was to understand how dynamical,microphysical and electrical processes interact in severe thunderstorms in the BMR,and how to assimilate lightning data in numerical weather prediction models to improve severe thunderstorm forecasts.The platforms used in the field campaign included the Beijing Lightning Network(BLNET,consisting of 16 stations),2 X-band dual linear polarimetric Doppler radars,and 4 laser raindrop spectrometers.The collaboration also made use of the China Meteorological Administration’s mesoscale meteorological observation network in the Beijing-Tianjin-Hebei region.Although diverse thunderstorm types were documented,it was found that squall lines and multicell storms were the two major categories of severe thunderstorms with frequent lightning activity and extreme rainfall or unexpected local short-duration heavy rainfall resulting in inundations in the central urban area,influenced by the terrain and environmental conditions.The flash density maximums were found in eastern Changping District,central and eastern Shunyi District,and the central urban area of Beijing,suggesting that the urban heat island effect has a crucial role in the intensification of thunderstorms over Beijing.In addition,the flash rate associated with super thunderstorms can reach hundreds of flashes per minute in the central city regions.The super(5%of the total),strong(35%),and weak(60%)thunderstorms contributed about 37%,56%,and 7%to the total flashes in the BMR,respectively.Owing to the close connection between lightning activity and the thermodynamic and microphysical characteristics of the thunderstorms,the lightning flash rate can be used as an indicator of severe weather events,such as hail and short-duration heavy rainfall.Lightning data can also be assimilated into numerical weather prediction models to help improve the forecasting of severe convection and precipitation at the cloud-resolved scale,through adjusting or correcting the thermodynamic and microphysical parameters of the model. | Xiushu QIE Shanfeng YUAN Zhixiong CHEN Dongfeng WANG Dongxia LIU Mengyu SUN Zhuling SUN Abhay SRIVASTAVA Hongbo ZHANG Jingyu LU Hui XIAO Yongheng BI Liang FENG Ye TIAN Yan XU Rubin JIANG Mingyuan LIU Xian XIAO Shu DUAN Debin SU Chengyun SUN Wenjing XU Yijun ZHANG Gaopeng LU Da-Lin ZHANG Yan YIN Ye YU | 2021 | Science China Earth Sciences2021，64，1： | 1 |
| 4 | Angle-frequency estimation using trilinear decompo- sition of the oversampled output显示文摘 | ZHANG Xiaofei FENG Gaopeng Xu Dazhuang | 2009 | Wireless Personal Communications2009，51，2： | 1 |
| 5 | The First Case of COVID-19 by an A.27 Lineage Variant Detected in a Returning Employee—Sichuan Province,China,January 7,2021显示文摘On January 7,2021,a 32-year-old returning employee arrived in Chengdu from Algeria via airplane and tested positive for coronavirus disease 2019(COVID-19)by nucleic acid tests.He was transferred to the designated hospital for further diagnosis and treatment.The patient was diagnosed as a mild COVID-19 case on January 16.After medical treatment,this patient recovered and left the hospital on February 18. | Li Liu Tao Luo Gaopeng Lei Yuliang Feng Xiang Zhao Huiping Yang Jianan Xu Ming Pan Linlin Zhou | 2021 | China CDC weekly2021，3，34： | 1 |
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