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作者:

Liu Jing-wei (Liu Jing-wei.) | Wang Pu (Wang Pu.) (学者:王普) | Liu Hong (Liu Hong.) | Yang Lei (Yang Lei.)

收录:

CPCI-S

摘要:

Vector time series autoregressive moving average predictive and wavelet neural networks PID method is proposed in order to solve the requirement of optimal parameters real-time calculation in various control fields (engineering systems, economics systems, etc.), especially to solve the instability and poor control perfot-mance problem of control parameters online-tuning in engineering practice. Based on additional wavelet neural networks and vector autoregressive moving average predict method and comparative experiments of relative methods, better feasibility, reliability; speed, lower static emir, more flexible parameter adjustment ability are verified.

关键词:

index control predict control vector time series online-tuning wavelet neural network

作者机构:

  • [ 1 ] [Liu Jing-wei]Beijing Univ Technol, Coll Comp Sci, Beijing 100124, Peoples R China
  • [ 2 ] [Wang Pu]Beijing Univ Technol, Coll Comp Sci, Beijing 100124, Peoples R China
  • [ 3 ] [Liu Hong]Beijing Univ Technol, Coll Comp Sci, Beijing 100124, Peoples R China
  • [ 4 ] [Yang Lei]Beijing Univ Technol, Coll Comp Sci, Beijing 100124, Peoples R China

通讯作者信息:

  • [Liu Jing-wei]Beijing Univ Technol, Coll Comp Sci, Beijing 100124, Peoples R China

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来源 :

26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC)

ISSN: 1948-9439

年份: 2014

页码: 359-364

语种: 中文

被引次数:

WoS核心集被引频次: 4

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ESI高被引论文在榜: 0 展开所有

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