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Shaoshuai Yu,Wenxia Zhao,Yanxia Yao,Wenxia Huai,Yuan Cheng,Zhongfu Zhou,Wenfa Xiao,Weiquan Qin,Wei Yan,Weiwei Song 한국원예학회 2019 Horticulture, Environment, and Biotechnology Vol.60 No.6
Malus sieversii, a valuable crop in Xinjiang, China, is an important natural resource for researching the genetic diversity and phylogenetic evolution of the genus Malus worldwide. Samples from 152 M. sieversii individuals with different symptom grades of deadwood were collected from Gongliu and Xinyuan and analysed with 21 pairs of simple sequence repeat (SSR) primers, revealing molecular genetic characteristics and phylogeny of different groups and individuals. The samples showed high genetic diversity at the species level (Na = 10.76, Ne = 4.37, H = 0.73, I = 1.65, Ho = 0.71, and He = 0.73). Variation was mainly found within groups with lower genetic differentiation (Fst = 0.092) and higher gene flow (Nm = 2.67). A total of 226 alleles were obtained, of which 25 exclusive alleles were from samples with < 40% deadwood rate, and 23 exclusive alleles were from samples with > 40% deadwood rate. Specific bands relating to individuals with deadwood rate < 10% (10 exclusive alleles) or > 60% (7 exclusive alleles) were amplified with 11 pairs of SSR primers. The number of exclusive alleles from M. sieversii plants collected in Gongliu was 52 and from those collected in Xinyuan was 24. Using unweighted pair-group method with arithmetic cluster analysis, the groups with different symptom grades from different sampling sites were shown to be clearly differentiated and formed several discrete subclades. Significantly, the six groups from Gongliu were further classified into two subclusters: Gongliu 1, including three groups with < 40% deadwood rate, and Gongliu 2, including three groups with > 40% deadwood rate.
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Optimal Tracking Performance of NCSs with Time-delay and Encoding-decoding Constraints
Jun-Wei Hu,Xi-Sheng Zhan,Jie Wu,Huai-Cheng Yan 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.4
In this paper, the tracking performance of networked control systems (NCSs) under energy constraints with time-delay and encoding-decoding is studied. Through spectral factorization and partial decomposition techniques, we can obtain the explicit representation of the optimal performance. It is shown that the optimal performance is affected by non minimum phase (NMP) zeros, unstable poles and other multiple communication constraints such as time-delay, encoding-decoding and additive white Gaussian noise (AWGN). At the same time, the obtained result shows that a two-parameter compensator is superior to a one-parameter compensator. In addition, it is found that time-delay, encoding-decoding and AWGN affected the tracking capability of NCSs. Finally, an example is given for verifying the correctness of the conclusions.
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Bipartite Fixed-time Consensus of Multi-agents System with Disturbance via Event-triggered Control
A-Hao Jiang,Xi-Sheng Zhan,Tao Han,Huai-Cheng Yan 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.7
This paper mainly investigates the bipartite fixed-time consensus problem with or without disturbances of multi-agent systems. Firstly, we propose a novel bipartite fixed-time consensus algorithm based on event-triggered mechanism. Secondly, we use Lyapunov stability theory to guarantee that all agents states can reach a consensus of bipartite fixed-time. Then, the fixed-time stability theory is used to estimate the settling time, which shows that the settling time has nothing to do with the initial state of all agents. Furthermore, it is proved that under this consensus protocol, no zeno behavior is occurred. Finally, two numerical examples are finally presented to illustrate the theoretical analysis correctness.
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