scholarly journals Finite element error estimates on the boundary with application to optimal control

2014 ◽  
Vol 84 (291) ◽  
pp. 33-70 ◽  
Author(s):  
Thomas Apel ◽  
Johannes Pfefferer ◽  
Arnd Rösch
2019 ◽  
Vol 0 (0) ◽  
pp. 0-0 ◽  
Author(s):  
Dominik Hafemeyer ◽  
◽  
Florian Mannel ◽  
Ira Neitzel ◽  
Boris Vexler ◽  
...  

Author(s):  
Constantin Christof ◽  
Boris Vexler

We study first-order necessary optimality conditions and finite element error estimates for a class of distributed parabolic optimal control problems with pointwise state constraints. It is demonstrated that, if the bound in the state constraint and the differential operator in the governing PDE fulfill a certain compatibility assumption, then locally optimal controls satisfy a stationarity system that allows to significantly improve known regularity results for adjoint states and Lagrange multipliers in the parabolic setting. In contrast to classical approaches to first-order necessary optimality conditions for state-constrained problems, the main arguments of our analysis require neither a Slater point, nor uniform control constraints, nor differentiability of the objective function, nor a restriction of the spatial dimension. As an application of the established improved regularity properties, we derive new finite element error estimates for the dG(0)-cG(1)-discretization of a purely state-constrained linear-quadratic optimal control problem governed by the heat equation. The paper concludes with numerical experiments that confirm our theoretical findings.


2016 ◽  
Vol 8 (6) ◽  
pp. 1050-1071 ◽  
Author(s):  
Tianliang Hou ◽  
Li Li

AbstractIn this paper, we investigate the error estimates of mixed finite element methods for optimal control problems governed by general elliptic equations. The state and co-state are approximated by the lowest order Raviart-Thomas mixed finite element spaces and the control variable is approximated by piecewise constant functions. We derive L2 and H–1-error estimates both for the control variable and the state variables. Finally, a numerical example is given to demonstrate the theoretical results.


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