Proper Orthogonal Decomposition for Flow Calculations and Optimal Control in a Horizontal CVD Reactor
By H. Ly, H. Tran. 2002
194 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Control and Systems Engineering, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/ab2afed4f72ddd7f38786637e330e6242a86b128
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In Computational Theory and Mathematics
In Control and Systems Engineering
- Stefan Volkwein
- Karl Kunisch
- Alessandro Astolfi
- Charbel Farhat
- Kevin T. Carlberg
- Karen E. Willcox
- Martin Gubisch
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In Statistical and Nonlinear Physics
- Stefan Volkwein
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- Saifon Chaturantabut
Citations in the corpus
- A non-linear least squares enhanced POD-4DVar algorithm for data assimilation (2015, unknown): “As in Tian et al. (2010), the POD (Ly and Tran, 2001, 2002) transformations to the OP and MP matrixes (Py and Px) are also conducted in our NLS4DVar formulations to guarantee the orthogonality of y 0 1; y 0 2; ; y 0 N .”
- Proper orthogonal decomposition for optimality systems (2008, methodology): “For optimal control and inverse problems POD was used for a wide variety of diffusion dominated systems, for instance in [4,12,16,23].”
- A reduced‐order approach to four‐dimensional variational data assimilation using proper orthogonal decomposition (2007, unknown): “It was successfully used in a variety of fields including signal analysis and pattern recognition (see Fukunaga 1990), fluid dynamics and coherent structures (see Aubry et al. 1998; Bansch 1991.) and more recently in control theory (see Afanasiev, et al. 2001; Arian, et al. 2000; Ly and Tran 2002”