Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/24646
Title: Direct transcription methods based on fractional integral approximation formulas for solving nonlinear fractional optimal control problems
Author: Salati, Abubakar Bello
Shamsi, Mostafa
Torres, Delfim F. M.
Keywords: Fractional optimal control
Direct numerical solution
Fractional integration matrix
Grünwald–Letnikov
Trapezoidal and Simpson fractional integral formulas
Issue Date: Feb-2019
Publisher: Elsevier
Abstract: This paper presents three direct methods based on Grünwald–Letnikov, trapezoidal and Simpson fractional integral formulas to solve fractional optimal control problems (FOCPs). At first, the fractional integral form of FOCP is considered, then the fractional integral is approximated by Grünwald–Letnikov, trapezoidal and Simpson formulas in a matrix approach. Thereafter, the performance index is approximated either by trapezoidal or Simpson quadrature. As a result, FOCPs are reduced to nonlinear programming problems, which can be solved by many well-developed algorithms. To improve the efficiency of the presented method, the gradient of the objective function and the Jacobian of constraints are prepared in closed forms. It is pointed out that the implementation of the methods is simple and, due to the fact that there is no need to derive necessary conditions, the methods can be simply and quickly used to solve a wide class of FOCPs. The efficiency and reliability of the presented methods are assessed by ample numerical tests involving a free final time with path constraint FOCP, a bang-bang FOCP and an optimal control of a fractional-order HIV-immune system.
Peer review: yes
URI: http://hdl.handle.net/10773/24646
DOI: 10.1016/j.cnsns.2018.05.011
ISSN: 1007-5704
Publisher Version: http://dx.doi.org/10.1016/j.cnsns.2018.05.011
Appears in Collections:CIDMA - Artigos
SCG - Artigos

Files in This Item:
File Description SizeFormat 
Direct transcription methods based on fractional integral.pdf1.51 MBAdobe PDFView/Open


FacebookTwitterLinkedIn
Formato BibTex MendeleyEndnote Degois 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.