Optimal Control of Convective FitzHugh-Nagumo Equation
For researchers in optimal control of PDEs, this provides a numerical framework for controlling travelling waves in excitable media, but the results are incremental as they apply existing methods to a specific equation.
This paper investigates optimal control problems for the convective FitzHugh-Nagumo equation, focusing on smooth and sparse controls to manipulate travelling waves. Numerical results demonstrate the validity of second-order optimality conditions and estimate distances between discrete controls and local optima.
We investigate smooth and sparse optimal control problems for convective FitzHugh-Nagumo equation with travelling wave solutions in moving excitable media. The cost function includes distributed space-time and terminal observations or targets. The state and adjoint equations are discretized in space by symmetric interior point Galerkin (SIPG) method and by backward Euler method in time. Several numerical results are presented for the control of the travelling waves. We also show numerically the validity of the second order optimality conditions for the local solutions of the sparse optimal control problem for vanishing Tikhonov regularization parameter. Further, we estimate the distance between the discrete control and associated local optima numerically by the help of the perturbation method and the smallest eigenvalue of the reduced Hessian.