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- 저자 : Zhangxi Liu (검색결과 3 건)
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Sliding Mode Predictive Active Fault-tolerant Control Method for Discrete Multi-faults System
Pu Yang,Zhangxi Liu,Dejie Li,Zhiqing Zhang,Zixin Wang 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.3
For discrete systems with sensor and actuator failures, this paper proposes an observer that can estimate both sensor failures and actuator failures and designs a sliding mode predictive fault-tolerant control method based on an improved whale optimization algorithm. First, a proportional-integral observer that can observe actuator fault and sensor fault is designed to estimate the value of faults, which greatly improves the work efficiency. After that, a global sliding mode surface is designed as a prediction model, so that the initial state of the system is located on the sliding mode surface to avoid the instability of the sliding mode approaching the process. The reference trajectory of a power function with uncertainty and disturbance compensation is designed to reduce the bad influence of uncertainty and disturbance on the system and suppress chattering greatly. Meanwhile, in the rolling optimization part, an improved whale optimization algorithm(IWOA) is designed to optimize the control law. Finally, the simulation results on the four-rotor helicopter simulation platform show the practicability and superiority of the algorithm.
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Biosynthesis of adipic acid in metabolically engineered Saccharomyces cerevisiae
Zhang Xi,Liu Yingli,Wang Jing,Zhao Yunying,Deng Yu 한국미생물학회 2020 The journal of microbiology Vol.58 No.12
Adipic Acid (AA) is a valued platform chemical compound, which can be used as a precursor of nylon-6,6. Due to the generation of an enormous amount of nitric oxide metabolites and the growing depletion of oil resources as a result of AA production from a mixture of cyclohexanol and cyclohexanone, the microbial methods for synthesizing AA have attracted significant attention. Of the several AA-producing pathways, the reverse adipate degradation pathway in Thermobifida fusca (Tfu RADP) is reported to be the most efficient, which has been confirmed in Escherichia coli. In this study, the heterologous Tfu RADP was constructed for producing AA in S. cerevisiae by co-expressing genes of Tfu_ 0875, Tfu_2399, Tfu_0067, Tfu_1647, Tfu_2576, and Tfu_ 2576. The AA titer combined with biomass, cofactors and other by-products was all determined after fermentation. During batch fermentation in a shake flask, the maximum AA titer was 3.83 mg/L, while the titer increased to 10.09 mg/L during fed-batch fermentation in a 5-L bioreactor after fermentation modification.
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Zhang, Xi,Liu, Ziyang,Li, Na 한국비즈니스학회 2023 비즈니스융복합연구 Vol.8 No.3
Knowledge payment is an important form of sharing economy. Research on the continuous use willingness of knowledge payment consumers will help to realize the sustainable development of the knowledge payment industry. Based on the information adoption model and the customer engagement theory, the function model of consumers' willingness to continue using knowledge payment is constructed. Data are collected through the questionnaire star platform, and the model and hypothesis are tested by SPSS23.0 and AMOS24.0. The results show that information quality and credibility of information sources have significant positive effects on customer psychological engagement and behavioral engagement; Customer engagement has a significant positive impact on the willingness to continue using knowledge payment; Customer engagement plays an intermediary role between the quality of information and the credibility of information sources and the willingness to pay for continuous use of knowledge. This study emphasizes the importance of information quality, credibility of information sources and customer engagement in influencing consumers' willingness to continue using knowledge payment products, and provides some reference for the knowledge payment platform to develop effective online marketing strategies.
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