Optimal Control and Vanishing Viscosity for the Burgers Equation
We revisit an optimization strategy recently introduced by the authors to compute numerical approximations of minimizers for optimal control problems governed by scalar conservation laws in the presence of shocks.We focus on the one-dimensional (1-D) Burgers equation. This new descent strategy, called the alternating descent method, in the inviscid case, distinguishes and alternates descent directions that move the shock and those that perturb the profile of the solution away from it. In this chapter we analyze the optimization problem for the viscous version of the Burgers equation. We show that optimal controls of the viscous equation converge to those of the inviscid one as the viscosity parameter tends to zero and discuss how the alternating descent method can be adapted to this viscous frame.
Optimal control for hyperbolic conservation laws is a difficult topic which requires a considerable analytical effort and is computationally expensive in practice. In the last years a number of methods have been proposed to reduce the computational cost and to render this type of problem affordable.
KeywordsBurger Equation Entropy Solution Adjoint System Viscosity Parameter Adjoint State
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