Our paper presents a new method to solve a class of fractional optimal control problems (FOCPs) based on the numerical polynomial approximation. In the proposed method, the fractional derivative in the dynamical system is considered in the Caputo sense. The approach used here is to approximate the state function by the Legendre orthonormal basis by using the Ritz method. Next, we apply a new constructed operational matrix to approximate fractional derivative of the basis. After transforming the problem into a system of algebraic equations, the problem is solved via the Newton's iterative method. Finally, the convergence of the new method is investigated and some examples are included to illustrate the effectiveness and applicability of the proposed methodology.
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September 2016
Research-Article
A Numerical Method for Solving Fractional Optimal Control Problems Using Ritz Method
Ali Nemati,
Ali Nemati
Department of Mathematics,
Payame Noor University,
P.O. Box 19395-3697,
Tehran, Iran
e-mail: ali.nemati83@gmail.com
Payame Noor University,
P.O. Box 19395-3697,
Tehran, Iran
e-mail: ali.nemati83@gmail.com
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Sohrab Ali Yousefi
Sohrab Ali Yousefi
Search for other works by this author on:
Ali Nemati
Department of Mathematics,
Payame Noor University,
P.O. Box 19395-3697,
Tehran, Iran
e-mail: ali.nemati83@gmail.com
Payame Noor University,
P.O. Box 19395-3697,
Tehran, Iran
e-mail: ali.nemati83@gmail.com
Sohrab Ali Yousefi
1Corresponding author.
Contributed by the Design Engineering Division of ASME for publication in the JOURNAL OF COMPUTATIONAL AND NONLINEAR DYNAMICS. Manuscript received January 6, 2015; final manuscript received January 25, 2016; published online February 25, 2016. Assoc. Editor: Hiroshi Yabuno.
J. Comput. Nonlinear Dynam. Sep 2016, 11(5): 051015 (7 pages)
Published Online: February 25, 2016
Article history
Received:
January 6, 2015
Revised:
January 25, 2016
Citation
Nemati, A., and Yousefi, S. A. (February 25, 2016). "A Numerical Method for Solving Fractional Optimal Control Problems Using Ritz Method." ASME. J. Comput. Nonlinear Dynam. September 2016; 11(5): 051015. https://doi.org/10.1115/1.4032694
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