Experimental Designs That Maximize Information for Nonlinear Dynamic Processes

نویسندگان

  • Derrick K. Rollins
  • Nidhi Bhandari
چکیده

Abstract Our discovery of a compact closed-form solution to Hammerstein systems has led to the ability to quantitatively compare competing experimental designs. This index is a quantitative measure of the information content in a design and is based on the D-optimality criterion. It is called efficiency in the statistical literature. This efficiency (ratio) shows the superiority of statistical design of experiments (SDOE) over the commonly used pseudo-random sequences (PRS) when modeling nonlinear dynamic processes. The ability of SDOE to control for confounding of input effects and the times of input changes is reflected in its higher efficiency.

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تاریخ انتشار 2002