Near-Optimal Time Series Sampling Based on the Reduced Hessian
Near-Optimal Time Series Sampling Based on the Reduced Hessian
复制标题
基于简化Hessian的近最优时间序列采样
DOI：
10.1002/aic.16248
复制
发表时间：
2020
期刊：
影响因子：
3.7
通讯作者：
Lorenz T.Biegler
中科院分区：
文献类型：
--
作者：
Weifeng Chen;Lorenz T.Biegler
A model‐based experimental design strategy is developed to select a minimal set of measured points from a time series of experiments. Based on reduced Hessian information embedded within a mixed integer nonlinear program, an optimal time series is determined that leads to well‐fitted models, with ratios of parameter standard deviation to estimated value within acceptable bounds. Demonstrated on three examples, the proposed approach is effective and efficient especially for time‐consuming and expensive measurements.
