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Evolving Neural Networks for the Control of a Lenticular Blimp

Abstract : We used evolution to shape a neural controller for keeping a blimp at a given altitude, and as horizontal as possible, despite disturbing winds. The blimp has a lenticular shape whose aerodynamic properties make it quite di.erent from a classical cigar-shaped airship. Evolution has exploited these features to generate a neural network that proved to be more efficient than a hand-designed PID-based controller that independently controlled the blimp’s three degrees of freedom.
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Submitted on : Friday, June 2, 2017 - 3:52:35 PM
Last modification on : Friday, January 8, 2021 - 5:40:04 PM

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Stéphane Doncieux, Jean-Arcady Meyer. Evolving Neural Networks for the Control of a Lenticular Blimp. Applications of Evolutionary Computing - EvoWorkshops 2003: EvoBIO, EvoCOP, EvoIASP, EvoMUSART, EvoROB, EvoSTIM, Apr 2003, Essex, United Kingdom. pp.626-637, ⟨10.1007/3-540-36605-9_57⟩. ⟨hal-01532234⟩



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