A nonlinear modeling approach using weighted piecewise series and its applications to predict unsteady flows

DOI10.1016/j.jcp.2016.04.052zbMath1349.76149OpenAlexW2347123053MaRDI QIDQ726820

Meng-Sing Liou, Weigang Yao

Publication date: 5 December 2016

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcp.2016.04.052

zbMATH Keywords

unsteady flowlimited cycle oscillationsmodeling of nonlinear dynamics with parametric inputsweighted piecewise linear (WPL) model

Mathematics Subject Classification ID

General aerodynamics and subsonic flows (76G25)

Uses Software

• AUSM
• TAPENADE

Cites Work

• Reduced-order models for control of fluids using the eigensystem realization algorithm
• The GNAT method for nonlinear model reduction: effective implementation and application to computational fluid dynamics and turbulent flows
• Enhanced linearized reduced-order models for subsurface flow simulation
• A sequel to AUSM II: AUSM\(^+\)-up for all speeds
• Identification of nonlinear aeroelastic systems based on the Volterra theory: progress and opportunities
• Nonlinear Model Reduction via Discrete Empirical Interpolation
• Computation of system balancing transformations and other applications of simultaneous diagonalization algorithms
• Turbulence and the dynamics of coherent structures. I. Coherent structures
• Principal component analysis in linear systems: Controllability, observability, and model reduction
• Radial Basis Functions
• MODEL REDUCTION FOR FLUIDS, USING BALANCED PROPER ORTHOGONAL DECOMPOSITION
• Reduced-order unsteady aerodynamic models at low Reynolds numbers
• Research on gain scheduling

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