Calculate Sensitivity Function Using Parallel Algorithm
H. A. Rjoub
DOI : 10.3844/jcssp.2008.928.933
Journal of Computer Science
Volume 4, Issue 11
Problem statement: To calculate sensitivity functions for a large dimension control system using one processor, it takes huge time to find the unknowns vectors for a linear system, which represents the mathematical model of the physical control system. This study is an attempt to solve the same problem in parallel to reduce the time factor needed and increase the efficiency. Approach: Calculate in parallel sensitivity function using n-1 processors where n is a number of linear equations which can be represented as TX = W, where T is a matrix of size n1xn2, X = T-1 W, is a vector of unknowns and ∂X/∂h =T-1 ((∂T/∂h)-( ∂W/∂h)) is a sensitivity function with respect to variation of system components h. The parallel algorithm divided the mathematical input model into two partitions and uses only (n-1) processors to find the vector of unknowns for original system x = (x1,x2,
© 2008 H. A. Rjoub. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.