Title :
Optimal control for large scale systems-a recursive approach
Author :
Shen, Xuemin ; Gourishankar, V.-G. ; Xia, Qijun ; Rao, Ming
Author_Institution :
Dept. of Electr. Eng., Alberta Univ., Edmonton, Alta., Canada
Abstract :
In this paper, a recursive fixed point type method is presented to obtain the “ε-coupled” subsystems. It has been shown that the recursive method is particularly useful when the coupling parameter ε is not small and/or when some desired order of accuracy is required, namely O(ε2k), where k is the number of iterations. It is proved that the convergence rate of the algorithm is O(ε2) for subsystem problems, and O(ε) for coordinator´s problem. Due to its recursive nature, this method is conceptually simple and very suitable for parallel programming. An illustrative numerical example is given to verify the proposed approach
Keywords :
computational complexity; convergence of numerical methods; iterative methods; large-scale systems; matrix algebra; optimal control; parallel algorithms; convergence rate; coupling parameter; iterative method; large scale systems; optimal control; recursive fixed point type method; recursive reduced order parallel algorithm; system matrix; Chemical engineering; Control systems; Convergence; Cost function; Large-scale systems; Matrix decomposition; Optimal control; Power system control; Process control; Riccati equations;
Conference_Titel :
Electrical and Computer Engineering, 1993. Canadian Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2416-1
DOI :
10.1109/CCECE.1993.332368