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作者:

Liu, Jing-Wei (Liu, Jing-Wei.) | Wang, Pu (Wang, Pu.) | Liu, Hong (Liu, Hong.) | Yang, Lei (Yang, Lei.)

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EI Scopus

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 performance 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 error, more flexible parameter adjustment ability are verified. © 2014 IEEE.

关键词:

Gaussian noise (electronic) Online systems Time series Real time systems

作者机构:

  • [ 1 ] [Liu, Jing-Wei]College of Computer Science, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Wang, Pu]College of Computer Science, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Liu, Hong]College of Computer Science, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Yang, Lei]College of Computer Science, Beijing University of Technology, Beijing 100124, China

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年份: 2014

页码: 359-364

语种: 中文

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SCOPUS被引频次: 3

ESI高被引论文在榜: 0 展开所有

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