Model Order Reduction for Linear and Nonlinear Systems: A System-Theoretic Perspective

Volume: 21, Issue: 4, Pages: 331 - 358
Published: Aug 20, 2014
Abstract
In the past decades, Model Order Reduction (MOR) has demonstrated its robustness and wide applicability for simulating large-scale mathematical models in engineering and the sciences. Recently, MOR has been intensively further developed for increasingly complex dynamical systems. Wide applications of MOR have been found not only in simulation, but also in optimization and control. In this survey paper, we review some popular MOR methods for...
Paper Details
Title
Model Order Reduction for Linear and Nonlinear Systems: A System-Theoretic Perspective
Published Date
Aug 20, 2014
Volume
21
Issue
4
Pages
331 - 358
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