Introduction to Low Order Modeling
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Identification of thermoacoustic systems usually requires low-order modeling, often obtained by means of a Galerkin projection onto a single acoustic mode.
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This is insightful for low-order modeling of the compressor stall phenomena.
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The results of this investigation thus demonstrate that the energized-mass framework provides a viable low-order modeling approach, and in tandem, can provide new insights into the origin of forces on accelerating bodies.
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Finally, we discuss the validity limits of the proposed low-order modeling approach.
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Four data-driven low-order modeling approaches, Dynamic mode decomposition (DMD) and three other variations (optimal mode decomposition, total-least-squares DMD and high-order DMD), are used to capture the spatio-temporal evolution of fluid–structure interactions.
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This paper proposes a domain decomposition scheme as a means for low order modeling of estimators for systems governed by partial differential equations.
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The present work aims to demonstrate the relationship between circulation production and force production on rapidly maneuvering wings using experimental measurements and two forms of low order modeling: an empirical model based on Lamb’s point vortex impulse theory and an analytical model stemming from classical airfoil theory.
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