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.
Document type :
Conference papers
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-01532234
Contributor : Lip6 Publications <>
Submitted on : Friday, June 2, 2017 - 3:52:35 PM
Last modification on : Thursday, March 21, 2019 - 1:05:25 PM

Links full text

Identifiers

Citation

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⟩

Share

Metrics

Record views

70