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        Distributed Convex Optimization for Flocking of Nonlinear Multi-agent Systems

        Qing Zhang,Zhikun Gong,Zhengquan Yang,Zengqiang Chen 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.5

        A distributed optimization problem with differentiable convex objective function is discussed forcontinuous-time multi-agent systems with flocking behavior of a nonlinear continuous function. The goal of thispaper is to design a controller by using only local interaction information, thus making velocities of all agents be thesame. Then the stability of the multi-agent systems is proved and the velocities converge to the value minimizingthe sum of local objective functions. Moreover, the paper got some sufficient conditions for the consensus and theoptimization. Finally, a numerical case is used to verify the analytical results.

      • KCI등재

        Identification and Determination of Oil Pollutants Based on 3-D Fluorescence Spectrum Combined with Self-weighted Alternating Trilinear Decomposition Algorithm

        Pengfei Cheng,Yutian Wang,Zhikun Chen,Zhe Yang 한국광학회 2016 Current Optics and Photonics Vol.20 No.1

        Oil pollution seriously endangers the biological environment and human health. Due to the diversityof oils and the complexity of oil composition, it is of great significance to identify the oil contaminants. The 3-D fluorescence spectrum combined with a second order correction algorithm was adopted to measurean oil mixture with overlapped fluorescence spectra. The self-weighted alternating trilinear decomposition(SWATLD) is a kind of second order correction, which has developed rapidly in recent years. Micellarsolutions of #0 diesel, #93 gasoline and ordinary kerosene in different concentrations were made up. The3-D fluorescence spectra of the mixed oil solutions were measured by a FLS920 fluorescence spectrometer. The SWATLD algorithm was applied to decompose the spectrum data. The predict concentration andrecovery rate obtained by the experiment show that the SWATLD algorithm has advantages of insensitivityto component number and high resolution for mixed oils.

      • KCI등재

        Identification of the WRKY gene family in apricot and its response to drought stress

        Jing Chenjuan,Wang Duan,Liu Zhikun,Chen Xuefeng,Dong Hui,Wu Xiaohong 한국원예학회 2023 Horticulture, Environment, and Biotechnology Vol.64 No.2

        The WRKY family has been found in 14 plant species, and its members are mostly involved in plant stress resistance. Apricot ( Prunus armeniaca L.) trees are extremely drought tolerant, but the molecular mechanisms have not yet been elucidated. Therefore, we investigated the WRKY gene family in apricot and analyzed the gene expression patterns in response to drought stress. A total of 56 candidate WRKY genes (PaWRKY1–56 ) were identifi ed in the apricot genome. The putative proteins contain 162–1055 amino acids, with an isoelectric point of 5.0–9.68 and molecular weight of 18.76– 114.2 Da. The PaWRKY family has a heptapeptide domain (WRKY) and zinc fi nger domain (CX 5-7 CX 22-23 HXH), which show diff erential variations among three groups. Group I has 12 members, with 2 WRKY and zinc fi nger domains located at the C and N terminus, respectively. Group II can be further divided into II-b, II-c, II-d, and II-e, with 10, 13, 6, and 7 members, respectively. Group III has eight members. Members of groups II and III have one WRKY and one zinc fi nger domain. Fifty-one PaWRKY genes are unevenly distributed across eight linkage groups. Only one tandem repeat event was detected, and gene duplication was identifi ed as the main factor driving gene evolution. A total of 28 PaWRKY genes responded to the drought–rehydration treatment. In particular, drought stress up-regulated PaWRKY11/14/48 expression and down-regulated PaWRKY23 expression. The genome-wide identifi cation, functional characterization, and evolution- ary analysis of the PaWRKY family yield new insights into the role of WRKY in the drought tolerance of apricot trees.

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