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Application of Nonlinear Reduction Techniques in Chemical Process Modeling

机译:非线性还原技术在化学过程建模中的应用

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Model reduction techniques have been used widely in all engineering fields especially in electrical, mechanical as well as chemical engineering. The basic idea of reduction technique is to replace the original system with much smaller state space dimension. A reduced order model is more beneficial to process and industrial field in terms of control purposes by using proper orthogonal decomposition method (POD), which finds applications in computationally processing large amounts of high-dimensional data with the aim of obtaining low-dimensional descriptions that capture a large amount of the phenomena of interest. The discrete version of the POD, which is the singular value decomposition (SVD) of matrices, is described in some detail.
机译:模型缩减技术已广泛应用于所有工程领域,特别是在电气,机械以及化学工程领域。约简技术的基本思想是用更小的状态空间维替换原始系统。降阶模型通过使用适当的正交分解方法(POD)在控制目的上更有利于过程和工业领域,该方法在计算处理大量高维数据中获得了应用,目的是获得低维描述。捕获大量感兴趣的现象。 POD的离散形式,即矩阵的奇异值分解(SVD),将进行详细描述。

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