Abstract
Proper orthogonal decomposition (POD) is a method to derive reduced-order models for dynamical systems. In this paper, POD is utilized to solve open-loop and closed-loop optimal control problems for the Burgers equation. The relative simplicity of the equation allows comparison of POD-based algorithms with numerical results obtained from finite-element discretization of the optimality system. For closed-loop control, suboptimal state feedback strategies are presented.
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Kunisch, K., Volkwein, S. Control of the Burgers Equation by a Reduced-Order Approach Using Proper Orthogonal Decomposition. Journal of Optimization Theory and Applications 102, 345–371 (1999). https://doi.org/10.1023/A:1021732508059
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DOI: https://doi.org/10.1023/A:1021732508059