Input–output analysis, model reduction and control of the flat-plate boundary layer

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Machine Learning Control – Taming Nonlinear Dynamics and Turbulence (2016, methodology): “For this section, we consider the eigensystem realization algorithm (ERA) and observer-Kalman filter identification (OKID) methods because of their connection to balanced model reduction [192, 230, 181, 269] and their recent successful application in closed-loop flow control [13, 11, 143].”
Proper orthogonal decomposition closure models for turbulent flows: A numerical comparison (2011, background): “…(see for example Ito & Ravindran 1998; Graham et al. 1999; Cohen et al. 2003; Bergmann et al. 2005; Lehmann et al. 2005; Hoepffner et al. 2006; Bagheri et al. 2009; Barbagallo et al. 2009; Ahuja & Rowley 2010; Akhtar & Nayfeh 2010) and data assimilation of atmospheric and oceanic flows (Luo…”
Dynamics and Control of Global Instabilities in Open-Flows: A Linearized Approach (2010, background): “investigated a one-dimensional model equation mimicking an open flow [105] and a boundary-layer flow [106].”
Closed-loop control of an open cavity flow using reduced-order models (2009, methodology): “…a readily applied technique for the analysis of generic wall-bounded shear flows such as channel (Ilak & Rowley 2006; Ahuja & Rowley 2008; Ilak & Rowley 2008) and boundary layer flow (Bagheri, Brandt & Henningson 2009a) as well as of model equations (Bagheri et al. 2009b) mimicking fluid behaviour.”