Title :
An algorithm for parallel processing of the state increment dynamic programming problem
Author :
Scheel, C. ; Mcinnis, B.
Author_Institution :
University of Houston, Houston, Texas
Abstract :
An algorithm is proposed for the parallel processing of the dynamic programming problem. The procedure combines the state increment approach with function partitioning and evaluate the partitioned cost function using the successive approximations technique as n one-dimensional problems in a decoupled form.
Keywords :
Cost function; Dynamic programming; Equations; Iterative algorithms; Iterative methods; Microcomputers; Optimal control; Parallel processing; Partitioning algorithms; State-space methods;
Conference_Titel :
Decision and Control including the 17th Symposium on Adaptive Processes, 1978 IEEE Conference on
Conference_Location :
San Diego, CA, USA
DOI :
10.1109/CDC.1978.267929
