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This paper presents the preliminary results of nonlinear trajectory generation (NTG) using artificial neural networks (ANNs) as analytical data approximators. NTG framework designed at Caltech by Mark Milam et al. (2003) solves constrained nonlinear dynamic optimization problems in real time. A successful application of NTG on real-life problems with sampled data depends upon an accurate approximation...
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