An approximate method for solving fractional optimal control problems by the hybrid of block‐pulse functions and Taylor polynomials

An approximate method for solving fractional optimal control problems by the hybrid of... In this paper, an efficient and accurate computational method based on the hybrid of block‐pulse functions and Taylor polynomials is proposed for solving a class of fractional optimal control problems. In the proposed method, the Riemann‐Liouville fractional integral operator for the hybrid of block‐pulse functions and Taylor polynomials is given. By taking into account the property of this operator, the solution of fractional optimal control problems under consideration is reduced to a nonlinear programming one to which existing well‐developed algorithms may be applied. The present method applies to both fractional optimal control problems with or without inequality constraints. The method is computationally very attractive and gives very accurate results. Easy implementation and simple operations are the essential features of the proposed hybrid functions. Illustrative examples are given to assess the effectiveness of the developed approximation technique. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Optimal Control Applications and Methods Wiley

An approximate method for solving fractional optimal control problems by the hybrid of block‐pulse functions and Taylor polynomials

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Publisher
Wiley
Copyright
Copyright © 2018 John Wiley & Sons, Ltd.
ISSN
0143-2087
eISSN
1099-1514
D.O.I.
10.1002/oca.2383
Publisher site
See Article on Publisher Site

Abstract

In this paper, an efficient and accurate computational method based on the hybrid of block‐pulse functions and Taylor polynomials is proposed for solving a class of fractional optimal control problems. In the proposed method, the Riemann‐Liouville fractional integral operator for the hybrid of block‐pulse functions and Taylor polynomials is given. By taking into account the property of this operator, the solution of fractional optimal control problems under consideration is reduced to a nonlinear programming one to which existing well‐developed algorithms may be applied. The present method applies to both fractional optimal control problems with or without inequality constraints. The method is computationally very attractive and gives very accurate results. Easy implementation and simple operations are the essential features of the proposed hybrid functions. Illustrative examples are given to assess the effectiveness of the developed approximation technique.

Journal

Optimal Control Applications and MethodsWiley

Published: Jan 1, 2018

Keywords: ; ; ; ;

References

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