HIGHLIGHTS
- who: Poramate Manoonpong from the Institute of Science and Technology, Rayong, Thailand, SDU UAS Centre (Unmanned Systems), The Mu00e6rsk ller Institute, University of Southern Denmark, Odense, Denmark, Embodied AI and Neurorobotics have published the research work: Neural Control and Online Learning for Speed Adaptation of Unmanned Aerial Vehicles, in the Journal: (JOURNAL)
- what: Taken together, this study has the following main contributions: Computational time for generating a control command (average) 0.38 ms (56.32%) Total learning and optimization time (average) 464.81 s (99.47%) Dynamic model requirement Learning and optimization requirement Based on . . .
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