Title :
A posteriori error estimates of variational discretization mixed finite element methods for integro-differential optimal control problem
Author :
Zuliang Lu ; Dayong Liu
Author_Institution :
Sch. of Math. & Stat., Chongqing Three Gorges Univ., Chongqing, China
fDate :
Sept. 30 2013-Oct. 4 2013
Abstract :
In this paper we study a posteriori error estimates of all discretization parameters for quadratic convex optimal control problems governed by integro-differential equations by using the variational discretization mixed finite element methods. The state and co-state are approximated by the lowest order Raviart-Thomas mixed finite element spaces and the control is not approximated. By applying some error estimates results of mixed finite element methods for integro-differential equations, we derive a posteriori error estimates both for the coupled state and the control approximation of the optimal control problem.
Keywords :
convex programming; estimation theory; finite element analysis; integro-differential equations; optimal control; quadratic programming; variational techniques; control approximation; costate approximation; coupled state; discretization parameters; integro-differential equations; integro-differential optimal control problem; lowest order Raviart-Thomas mixed finite element spaces; posteriori error estimates; quadratic convex optimal control problems; variational discretization mixed finite element methods; a posteriori error estimates; integro-differential optimal control; variational discretization mixed finite element method;
Conference_Titel :
Electrical Engineering, Computing Science and Automatic Control (CCE), 2013 10th International Conference on
Conference_Location :
Mexico City
Print_ISBN :
978-1-4799-1460-9
DOI :
10.1109/ICEEE.2013.6676039