Solving time-delay optimal control problems via artificial neural networks | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 2، دوره 17، شماره 7، مهر 2026، صفحه 9-13 اصل مقاله (361.43 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2024.34350.5129 | ||
| نویسنده | ||
| Tahereh Jabbari Khanbehbin* | ||
| Department of Mathematics and Statistics, Faculty of Basic Sciences, Gonbad Kavous University, Gonbad Kavous, Iran | ||
| چکیده | ||
| This article presents a new approach for solving the Optimal Controls of linear time delay systems with a quadratic cost functional. In this study, the Artificial Neural Networks are employed for convert delay optimal control problem to a unconstrained optimization problem. Then by using an optimization algorithm, the optimal control law is obtained. Finally, Illustrative examples are included to demonstrate the validity and applicability of the technique. | ||
| کلیدواژهها | ||
| Time-delay optimal control problems؛ Artificial neural networks؛ Unconstrained optimization problem | ||
| مراجع | ||
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