A gradient-based optimization algorithm to solve optimal control problems with conformable fractional-order derivatives
In this paper, we solve numerically a class of fractional optimal control problems in the conformable sense. We first propose a nonlinear fractional optimal control problem subject to general equality and inequality constraints. Then, based on a novel numerical integration scheme, we present a discr...
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| Veröffentlicht in: | Journal of computational and applied mathematics Jg. 454; S. 116169 |
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| Hauptverfasser: | , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Elsevier B.V
15.01.2025
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| Schlagworte: | |
| ISSN: | 0377-0427 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | In this paper, we solve numerically a class of fractional optimal control problems in the conformable sense. We first propose a nonlinear fractional optimal control problem subject to general equality and inequality constraints. Then, based on a novel numerical integration scheme, we present a discretization method for the governed fractional-order system as well as the cost and constraint functionals, which yields a discretized approximate problem. We further derive the gradients of the cost and constraint functionals in regard to the discretized controls. On the basis of this result, a numerical optimization approach to solve the approximate problem is developed. Finally, three non-trivial example problems are solved to illustrate the applicability and effectiveness of the developed approach. |
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| ISSN: | 0377-0427 |
| DOI: | 10.1016/j.cam.2024.116169 |