Abstract
The near-optimal control conditions of a stochastic system are the main subject of this research work, which will extend some previous results. At first, the stochastic system and its adjoint equations are estimated based on certain mild assumptions on a convex control set. Additionally, utilizing various analysis techniques and Ekeland’s variational principle, sufficient and necessary near-optimality conditions are obtained, independent of the second-order adjoint equation. Ultimately, an example of a biological, mathematical model is used to demonstrate the correctness of the theoretical analysis.
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More From: Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena
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