Open AccessNumerical Methods for Solving Optimal Control Problem Using Scaling Boubaker Function
Author(s) -
Eman Hassan Ouda Alfrdji,
Imad Noah Ahmed
Publication year - 2020
Publication title -
mağallaẗ al-qādisiyyaaẗ li-l-ʻulūm al-ṣirfaẗ
Language(s) - English
Resource type - Journals
eISSN - 2411-3514
pISSN - 1997-2490
DOI - 10.29350/qjps.2020.25.2.1120
Subject(s) - scaling , matlab , computer science , mathematical optimization , optimal control , function (biology) , state (computer science) , control (management) , mathematics , algorithm , artificial intelligence , geometry , evolutionary biology , biology , operating system
In this paper, the approximation method was used for solving optimal control problem (OCP), two techniques for state parameterization and control parameterization have been considered with the aid of Scaling Polynomials (SBP) represent a new important technique for solving (OCP’s). The algorithms were illustrated by several numerical examples using Matlab program. The results were evaluated and graphed to show the accuracy of the methods.