## What is/are Low Order Modeling?

Low Order Modeling - Identification of thermoacoustic systems usually requires low-order modeling, often obtained by means of a Galerkin projection onto a single acoustic mode.^{[1]}This is insightful for low-order modeling of the compressor stall phenomena.

^{[2]}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.

^{[3]}Finally, we discuss the validity limits of the proposed low-order modeling approach.

^{[4]}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.

^{[5]}This paper proposes a domain decomposition scheme as a means for low order modeling of estimators for systems governed by partial differential equations.

^{[6]}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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