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Solving Multi-Dimensional Fractional Optimal Control Problems With Inequality Constraint by Bernstein Polynomials Operational Matrices

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Date

2013

Journal Title

Journal ISSN

Volume Title

Publisher

Sage Publications Ltd

Open Access Color

Green Open Access

No

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No
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Top 10%
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Top 10%
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Abstract

In this paper, we present a method for solving multi-dimensional fractional optimal control problems. Firstly, we derive the Bernstein polynomials operational matrix for the fractional derivative in the Caputo sense, which has not been done before. The main characteristic behind the approach using this technique is that it reduces the problems to those of solving a system of algebraic equations, thus greatly simplifying the problem. The results obtained are in good agreement with the existing ones in the open literature and it is shown that the solutions converge as the number of approximating terms increases, and the solutions approach to classical solutions as the order of the fractional derivatives approach 1.

Description

Rostamy, Davood/0000-0001-9585-8904

Keywords

Bernstein Polynomials, Caputo Derivative, Fractional Optimal Control Problems, Operational Matrix, Orthogonal polynomials and functions of hypergeometric type (Jacobi, Laguerre, Hermite, Askey scheme, etc.), Control/observation systems governed by functional-differential equations, Fractional derivatives and integrals, operational matrix, fractional optimal control problems, Bernstein polynomials, Caputo derivative

Fields of Science

0209 industrial biotechnology, 02 engineering and technology

Citation

Alipour, Mohsen; Rostamy, Davood; Baleanu, Dumitru, "Solving multi-dimensional fractional optimal control problems with inequality constraint by Bernstein polynomials operational matrices" Journal Of Vibration And Control, Vol.19, No.16, pp.2523-2540, (2013).

WoS Q

Q2

Scopus Q

Q2
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OpenCitations Citation Count
76

Source

Journal of Vibration and Control

Volume

19

Issue

16

Start Page

2523

End Page

2540
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Citations

CrossRef : 72

Scopus : 92

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Mendeley Readers : 20

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3.5308

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