Solving optimal control problems of the time-delayed systems by a neural network framework
A numerical method using neural networks for solving time-delayed optimal control problems is studied. The problem is first transformed into one without a time-delayed argument, using a Páde approximation. We try to approximate the solution of the Hamiltonian conditions based on the Pontryagin minim...
Main Authors: | Alireza Nazemi, Ensieh Fayyazi, Marzieh Mortezaee |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2019-10-01
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Series: | Connection Science |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/09540091.2019.1604627 |
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