Maximum process problems in optimal control theory

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Abstract

Given a standard Brownian motion (Bt)t≥0 and the equation of motion dXt = vtdt + √2dBt, we set St = max0≤s≤t Xs and consider the optimal control problem supv E(Sτ - Cτ), where c > 0 and the supremum is taken over all admissible controls v satisfying vt ∈ [μ0, μ1] for all t up to τ = inf{t > 0 Xt ∉ (ℓ0, ℓ1)} with μ0 < 0 < μ1 and ℓ0 < 0 < ℓ1 given and fixed. The following control v* is proved to be optimal: "pull as hard as possible," that is, vt* = μ0 if Xt g* (St), where s → g* (s) is a switching curve that is determined explicitly (as the unique solution to a nonlinear differential equation). The solution found demonstrates that the problem formulations based on a maximum functional can be successfully included in optimal control theory (calculus of variations) in addition to the classic problem formulations due to Lagrange, Mayer, and Bolza.

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APA

Peskir, G. (2005). Maximum process problems in optimal control theory. Journal of Applied Mathematics and Stochastic Analysis, 2005(1), 77–88. https://doi.org/10.1155/JAMSA.2005.77

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