J. Umakant

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improves the effectiveness of a design decision based on the use of a less accurate function. In this paper, we propose a method that exploits the concept of rank transformation to aggregate high fidelity information in a cost effective manner. This information is used to develop an empirical cumulative probability distribution function for residue such(More)
In this paper we present a nonlinear programming solution to one of the most challenging problems in trajectory optimization. Unlike most aerospace trajectory optimization problems the ascent phase of a hypersonic vehicle has to undergo large changes in altitude and associated aerodynamic conditions. As a result, its aerodynamic characteristics , as well as(More)
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