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In this paper, a new subsystem-based approach to solve aerospace vehicle energy management issues is described. The goal of this approach is to create an " Energy Optimized Aircraft " that will maximize energy utilization for broad capabilities while minimizing complexity. To support this goal, an advanced modeling and simulation ICD process is established.(More)
Continuous Time Recurrent Neural Network Evolvable Hardware (CTRNN-EH) has been proposed as an enabling control technology for electromechanical devices. In addition to being able to learn control laws <i>tabula</i> <i>rasa</i>, CTRNNs can learn how to augment existing, trusted, controllers to add new capabilities without breaking existing operation. The(More)
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