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Enhancing Legendre-Gauss-Radau Pseudospectral Method with Sigmoid-Based Control Parameterization for solving Bang-Bang Optimal Control problems | ||
| Computational Methods for Differential Equations | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 10 اردیبهشت 1404 اصل مقاله (1.3 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22034/cmde.2025.65162.2982 | ||
| نویسنده | ||
| Fereshteh Samadi* | ||
| Department of Mathematics, Payame Noor University (PNU), Tehran, P.O. Box 19395-3697, Iran. | ||
| چکیده | ||
| In bang-bang optimal control problems, the control function is inherently piecewise constant. This feature creates substantial difficulties for the standard Legendre-Gauss-Radau pseudospectral method, which relies on polynomial approximation for the control function. This study introduces a simplified approach that seamlessly integrates sigmoid-based control parameterization with the traditional Legendre-Gauss-Radau pseudospectral method. This integration enables precise approximation of discontinuous control profiles while maintaining the polynomial approximation for state variables. The proposed method significantly minimizes the number of decision variables in the optimization problem while precisely determining both the number and locations of switching points. This leads to notable enhancements in computational efficiency and solution accuracy. Numerical experiments conducted on two benchmark problems--a bridge crane system and a robotic arm control problem--demonstrate the exceptional precision and efficiency of the proposed method. Despite its simplicity, the method delivers results that are on par with those produced by more advanced and intricate techniques. | ||
| کلیدواژه‌ها | ||
| Bang-bang optimal control؛ Legendre-Gauss-Radau pseudospectral methods؛ Sigmoid function | ||
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آمار تعداد مشاهده مقاله: 14 تعداد دریافت فایل اصل مقاله: 12 |
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