2015
DOI: 10.1016/j.ast.2015.02.018
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Stochastic optimal control for aircraft conflict resolution under wind uncertainty

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Cited by 70 publications
(50 citation statements)
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“…In this section, we introduce the stochastic aircraft dynamics including spatially correlated wind uncertainty and briefly review our previously developed conflict-detection and -resolution algorithms based on the PCE and pseudospectral methods [10].…”
Section: Probabilistic Conflict-detection and -Resolution Algorithmsmentioning
confidence: 99%
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“…In this section, we introduce the stochastic aircraft dynamics including spatially correlated wind uncertainty and briefly review our previously developed conflict-detection and -resolution algorithms based on the PCE and pseudospectral methods [10].…”
Section: Probabilistic Conflict-detection and -Resolution Algorithmsmentioning
confidence: 99%
“…The stochastic optimal control problem for conflict resolution is also solved by a Markov chain approximation and the Jacobi iteration [9], but the problem becomes intractable for the high-dimensional continuous state space and a large number of the discrete states. In previous work [10], a stochastic optimal control method for conflict resolution under spatially correlated wind uncertainty [11,12] was developed based on the polynomial chaos expansion (PCE) algorithm [13,14] and the pseudospectral method [15][16][17]. The PCE algorithm can quantify uncertainties in the complex nonlinear dynamical systems with high computational efficiency, and the pseudospectral method can solve the nonlinear optimal control problems effectively.…”
Section: Introductionmentioning
confidence: 99%
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