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Proper Orthogonal Decomposition for Model Reduction of Linear Differential-Algebraic Equation Systems

机译:用于线性差分代数方程系统模型减小的适当正交分解

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This paper presents a generalization of the model reduction method proper orthogonal decomposition to systems of differential-algebraic equations of arbitrary index. It is known that proper orthogonal decomposition generalizes the method of empirical balanced truncation for linear time-invariant systems. This property will be preserved for differential-algebraic equation systems of arbitrary index. This is important for the application of proper orthogonal decomposition in control, where the input-output behaviour should be approximated accurately, which is a well-known property of balanced-truncated systems.
机译:本文介绍了采用正交分解的模型还原方法对任意指数的差分代数方程的系统。已知适当的正交分解推广用于线性时间不变系统的经验平衡截断的方法。将保留此属性的任意指数的差分代数方程系统。这对于在控制中应用适当的正交分解非常重要,其中输入输出行为应准确近似,这是平衡截断系统的众所周知的属性。

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