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Jinlong Zhang,Jingkun Lu,Bing Liu,Qiuyue Liu,Fan Jin,Miaojun Zhang,Yerong Liu,Yujun Song,Chenhui Dong,Wanyi Zhang,Ningxu Han,Xu Deng,Feng Xing 한양대학교 세라믹연구소 2019 Journal of Ceramic Processing Research Vol.20 No.S1
Quantification of viable spores is a time taking task due to the lack of rapid, efficient and accurate methods. This studypresented a simple spectrophotometric method for the detection of viable spores based on spore’s property of losing refractivityduring the germination process. By comparison of the results obtained by both spectrophotometric method and colonycounting method, a good linear correlation (R2 = 0.99) was achieved between viable spore concentration and OD loss underappropriate conditions. To avoid interference from ungerminable spores and vegetative cells, a turbidity complementationstrategy of keeping the initial concentration of spore suspensions at the same and relatively lower level was required. Thecalibration equation developed could be used to predict the viable spore yield produced in a series of fermentation experiments. The experimental results proved that this novel spectrophotometric method was sensitive, rapid, and easy to performcompared to conventional colony counting method.
Event-based Finite-time Boundedness of Discrete-time Network Systems
Yingqi Zhang,Miaojun Zhan,Yan Shi,Caixia Liu 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.10
This paper deals with the event-based finite-time H∞ control problem of discrete-time network control systems with norm bounded input disturbances and nonlinear stochastic functions. A network-induced delay stochastic model is first constructed by an event-triggered approach. Utilizing stochastic analysis and eventtriggered schemes, conditions on stochastic finite-time (FT) boundedness and stochastic H∞ FT boundedness are then derived for the network model. Subsequently, an event-based finite-time controller and an event-triggered matrix are co-designed to ensure that the stochastic model is stochastically FT bounded or stochastically H∞ FT bounded by utilizing a matrix decomposition scheme. All derived criteria can be solved in terms of convex optimal method, and numerical examples demonstrate the validity of obtained results as well.