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Gradient Dynamic Optimization with Legendre Chaos
(Submitted to Automatica, 2006)
Hover, Franz S. and Michael S. Triantafyllou

Abstract

We show that the gradient method for dynamic optimization (the Maximum Principle) can be applied in a stochastic sense using Legendre chaos, giving rise to a complete family of optimal trajectories, parameterized with a small number of free variables.