Title :
Mixed finite element methods for identification distributed parameters
Author_Institution :
Coll. of Math. & Comput. Sci., Chongqing Three Gorges Univ., Chongqing, China
Abstract :
We study a priori error estimates of mixed finite element methods for identification distributed parameters. The state and the co-state are discretized by the lowest order Raviart-Thomas mixed finite element spaces and the control is discretized by piecewise constant elements. Then, we construct the mixed finite element discretization for the identification distributed parameters. Furthermore, we derive a priori error estimates for the coupled state and control approximation. Finally, we present a numerical example which confirm our theoretical results.
Keywords :
finite element analysis; nonlinear control systems; optimal control; parabolic equations; Raviart-Thomas mixed finite element spaces; identification distributed parameters; mixed finite element methods; piecewise constant elements; Approximation methods; Electrical engineering; Equations; Finite element methods; IEEE catalog; Mathematical model; Optimal control; a priori error estimates; identification distributed parameters; mixed finite element method;
Conference_Titel :
Electrical Engineering Computing Science and Automatic Control (CCE), 2010 7th International Conference on
Conference_Location :
Tuxtla Gutierrez
Print_ISBN :
978-1-4244-7312-0
DOI :
10.1109/ICEEE.2010.5608611