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Solving time-delay optimal control problems via artificial neural networks | ||
International Journal of Nonlinear Analysis and Applications | ||
مقالات آماده انتشار، اصلاح شده برای چاپ، انتشار آنلاین از تاریخ 28 خرداد 1404 اصل مقاله (361.9 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 | ||
تاریخ دریافت: 15 دی 1402، تاریخ پذیرش: 26 خرداد 1403 | ||
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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