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.
Cite
CITATION STYLE
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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