Abstract
In this paper, the class of uncertain multi-dimensional fractional control problems with the first-order PDE constraints is investigated. The robust approach and the parametric method are applied for solving such control problems. Then, robust optimality is analyzed for the considered PDE-constrained multi-dimensional fractional control problem with uncertainty. Further, the exact absolute penalty function method is used for solving control problems created in both the aforementioned approaches. Then, under appropriate convexity hypotheses, exactness of the penalization of this exact penalty function method is investigated in the case when it is used for solving the considered control problem with uncertainty. Further, an algorithm based on the used method is presented, the main goal of which is to illustrate the precise steps to solve the unconstrained multi-dimensional non-fractional control problem with uncertainty associated with the constrained fractional control problem.
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The research of the first author is financially supported by the MATRICS, SERB-DST, New Delhi, India (No. MTR/ 2021/ 000002).
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Jayswal, A., Baranwal, A. & Antczak, T. Solving convex uncertain PDE-constrained multi-dimensional fractional control problems via a new approach. J Eng Math 145, 8 (2024). https://doi.org/10.1007/s10665-024-10338-2
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DOI: https://doi.org/10.1007/s10665-024-10338-2
Keywords
- Exact absolute penalty function method
- Parametric method
- PDE-constrained multi-dimensional fractional control problem with uncertainty
- Robust optimization
- Uncertainty modeling