A receding horizon D-optimization approach for model identification-oriented input design and application in combustion engines

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• 作者：Mitsuru Toyoda ; ^{m-toyoda@eagle.sophia.ac.jp} ; Tielong Shen
• 关键词：D-optimal DOE ; Receding horizon optimization ; Recursive identification ; Mean-value model
• 刊名：Applied Mathematical Modelling
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：42
• 期：Complete
• 页码：175-187
• 全文大小：657 K
• 卷排序：42

文摘

A new formulation of receding horizon D-optimization is proposed. The D-optimization problem is solved recursively by using the estimated parameter. The D-optimization algorithm is constructed with the Continuation/GMRES method. A practical application for a full-scale engine test bench is demonstrated. The mean-value model is identified by the proposed algorithm.