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NASA / Langley Research Center / Aviation / Spaceflight / Boeing X-53 Active Aeroelastic Wing / Aerospace engineering / Elevon / Nastran


NASA Aeronautics Research Institute Artificial Intelligence Based Control Power Optimization on Tailless Aircraft Frank H. Gern NASA Langley Research Center
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Document Date: 2014-10-17 18:20:31


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File Size: 1,19 MB

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Company

Boeing / /

Currency

PEN / /

Facility

Process Flow NASA Aeronautics Research Institute / Aeronautics Research Institute / Outline NASA Aeronautics Research Institute / Innovation Cont’d NASA Aeronautics Research Institute / Technical Approach NASA Aeronautics Research Institute / Neural Network Training Data NASA Aeronautics Research Institute / Virginia Polytechnic Institute / Project Team NASA Aeronautics Research Institute / /

IndustryTerm

neural network using genetic algorithm / neural network / actuation energy / artificial neural networks / /

Organization

Process Flow NASA Aeronautics Research Institute / National Aeronautics and Space Administration / NASA Langley Research Center / State Univ. / Technical Approach NASA Aeronautics Research Institute / Neural Network Training Data NASA Aeronautics Research Institute / NASA Aeronautics Research Mission Directorate / Polytechnic Institute / Project Team NASA Aeronautics Research Institute / Mission Directorate / /

Person

Joseph A. Schetz / Rakesh K. Kapania / Norman H. Princen / Frank H. Gern / Dan D. Vicroy / Sameer Mulani / Michael R. Sorokach / /

Position

model for symmetric pitch analysis / /

Technology

2.5G / Neural network / artificial intelligence / neural network using genetic algorithm / /

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