Invention Grant
US08380646B2 Method for the computer-assisted learning of a control and/or a feedback control of a technical system using a modified quality function and a covariance matrix 有权
使用修改的质量函数和协方差矩阵的计算机辅助学习控制和/或技术系统的反馈控制的方法

  • Patent Title: Method for the computer-assisted learning of a control and/or a feedback control of a technical system using a modified quality function and a covariance matrix
  • Patent Title (中): 使用修改的质量函数和协方差矩阵的计算机辅助学习控制和/或技术系统的反馈控制的方法
  • Application No.: US12875159
    Application Date: 2010-09-03
  • Publication No.: US08380646B2
    Publication Date: 2013-02-19
  • Inventor: Alexander HansSteffen Udluft
  • Applicant: Alexander HansSteffen Udluft
  • Applicant Address: DE München
  • Assignee: Siemens Aktiengesellschaft
  • Current Assignee: Siemens Aktiengesellschaft
  • Current Assignee Address: DE München
  • Priority: DE102009040770 20090909
  • Main IPC: G06F15/18
  • IPC: G06F15/18
Method for the computer-assisted learning of a control and/or a feedback control of a technical system using a modified quality function and a covariance matrix
Abstract:
A method of computer-assisted learning of control and/or feedback control of a technical system is provided. A statistical uncertainty of training data used during learning is suitably taken into account when learning control of the technical system. The statistical uncertainty of a quality function, which models an optimal operation of the technical system, is determined by uncertainty propagation and is incorporated during learning of an action-selecting rule. The uncertainty propagation uses a covariance matrix in which non-diagonal elements are ignored. The method can be used for learning control or feedback control of any desired technical systems. In a variant, the method is used for control or feedback control of an operation of a gas turbine. In another variant, the method is used for control or feedback control of a wind power plant.
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