Jing Zhang

Publications (2)3.52 Total impact

• Article: Adaptive inverse control of variable speed wind turbine

  Yan Bao, Hui Wang, Jing Zhang
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  ABSTRACT: The efficiency and reliability of wind power has been shown to be depending on the applied control strategy of the wind turbine. In this paper, an adaptive control strategy is proposed for variable speed wind turbine (VSWT), producing energy limitation above rated wind speed. In the proposed control strategy, the process is modeled using a neural networks based identifier, providing the sensitivity information of the process to the control input. Another neural networks is employed as an inverse model controller established via inverse system method. These two neural networks are off-line learned firstly and are on-line updated using the back propagation algorithm. Simulation results have shown the effectiveness of the proposed adaptive control strategy. KeywordsAdaptive control-Inverse model-Variable speed wind turbine-Wind farm-Neural networks-Model identification
  Nonlinear Dynamics 04/2012; 61(4):819-827. · 1.25 Impact Factor
• Article: An expression analysis of 57 transcription factors derived from ESTs of developing seeds in Maize (Zea mays).

  Guifeng Wang, Hui Wang, Jia Zhu, Jing Zhang, Xiaowei Zhang, Fei Wang, Yuanping Tang, Bing Mei, Zhengkai Xu, Rentao Song
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  ABSTRACT: Maize seeds are an important source of food, animal feed, and industrial raw materials. To understand global gene expression and regulation during maize seed development, a normalized cDNA library, covering most of the developmental stages of maize seeds, was constructed. Sequencing analysis of 10,848 randomly selected clones identified 6,630 unique ESTs. Among them, 57 putative transcription factors (TFs) were identified. The TFs belong to seven different super-families, specifically 17 Zinc-finger, 13 bZIP, 8 bHLH, 6 MADS, 7 MYB, 3 Homedomain, and 3 AP2/EREBP. The spatial and temporal expression of the TFs was analyzed by semi-quantitative RT-PCR with representative tissue types and seeds at different developmental stages, revealing their diverse expression patterns and expression levels. One-third (19) of the maize TFs was found their putative orthologs in Arabidopsis. Similar expression patterns were observed in both maize and Arabidopsis for the majority of orthologous pairs (15 out of 19), suggesting their conserved functions during seed development. In conclusion, the systematic analysis of maize seed TFs has provided valuable insight into transcriptional regulation during maize seed development.
  Plant Cell Reports 03/2010; 29(6):545-59. · 2.27 Impact Factor