Title :
A priori error estimates of mixed methods for quadratic convex optimal control problem governed by nonlinear parabolic equations
Author :
Lu, Z.L. ; Chen, Y.P.
Author_Institution :
Inst. for Comput. & Appl. Math., Xiangtan Univ., Xiangtan, China
Abstract :
In this paper we investigate a priori error estimates of quadratic convex optimal control problem governed by nonlinear parabolic equations using 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 approximated by piecewise constant functions. By applying some error estimates results of mixed finite element methods for parabolic equations, we derive a priori error estimates of optimal order both for the coupled state and the control approximation of the optimal control problem.
Keywords :
error analysis; finite element analysis; function approximation; nonlinear control systems; optimal control; parabolic equations; a priori error estimation; mixed finite element methods; nonlinear parabolic equations; piecewise constant function approximation; quadratic convex optimal control problem; Automatic control; Automation; Centralized control; Control systems; Error correction; Finite element methods; Mathematics; Nonlinear equations; Optimal control; State estimation; a priori error estimates; mixed finite element method; nonlinear parabolic optimal control;
Conference_Titel :
Electrical Engineering, Computing Science and Automatic Control,CCE,2009 6th International Conference on
Conference_Location :
Toluca
Print_ISBN :
978-1-4244-4688-9
Electronic_ISBN :
978-1-4244-4689-6
DOI :
10.1109/ICEEE.2009.5393432