In this article, we consider one-dimensional optimization models that are relevant for mining applications. The maximand functional is interpreted as discounted profit. Several alternative formulations of the optimization problem are considered on finite and infinite horizons. Optimal solutions are constructed in analytical form. The optimal control is determined in the form of a time function (a program) and in the form of a function of the phase coordinate (feedback — the hyperbolic tangent law). The theoretical basis for our results is provided by Pontryagin’s maximum principle and Bellman’s dynamic programming method. The theoretical results provide a foundation for computer experiments with prototype and real-life data. The article is an expanded version of [5]. The discussion is accompanied by graphs.
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Translated from Problemy Dinamicheskogo Upravleniya, Issue 2, 2007, pp. 4–38.
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Avvakumov, S.N., Kiselev, Y.N. & Orlov, M.V. Investigating a Nonlinear Optimal Control Problem with Discounting. Comput Math Model 25, 239–269 (2014). https://doi.org/10.1007/s10598-014-9223-4
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DOI: https://doi.org/10.1007/s10598-014-9223-4