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- W4382657917 abstract "Nonlinear feedback design via state-dependent Riccati equations is well established but unfeasible for large-scale systems because of computational costs. If the system can be embedded in the class of linear parameter-varying systems with the parameter dependency being affine-linear, then the nonlinear feedback law has a series expansion with constant and precomputable coefficients. In this work, we propose a general method to approximate nonlinear systems such that the series expansion is possible and efficient even for high-dimensional systems. We lay out the stabilization of incompressible Navier-Stokes equations as application, discuss the numerical solution of the involved matrix equations, and confirm the performance of the approach in a numerical example." @default.
- W4382657917 created "2023-07-01" @default.
- W4382657917 creator A5042908408 @default.
- W4382657917 date "2023-01-01" @default.
- W4382657917 modified "2023-10-14" @default.
- W4382657917 title "Low-Complexity Linear Parameter-Varying Approximations of Incompressible Navier-Stokes Equations for Truncated State-Dependent Riccati Feedback" @default.
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- W4382657917 doi "https://doi.org/10.1109/lcsys.2023.3291231" @default.
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