Dracopoulos, Dimitris and Effraimidis, Dimitrios (2012) Genetic programming for generalised helicopter hovering control. In: Genetic programming: proceedings of the 15th European conference, EUROGP 2012. Lecture notes in computer science (7244). Springer Verlag, Malaga, Spain, pp. 25-36. ISBN 9783642291388Full text not available from this repository.
We show how genetic programming can be applied to helicopter hovering control, a nonlinear high dimensional control problem which previously has been included in the literature in the set of benchmarks for the derivation of new intelligent controllers . The evolved controllers are compared with a neuroevolutionary approach which won the first position in the 2008 helicopter hovering reinforcement learning competition. GP performs similarly (and in some cases better) with the winner of the competition, even in the case where unknown wind is added to the dynamic system and control is based on structures evolved previously, i.e. the evolved controllers have good generalisation capability.
|Item Type:||Book Section|
|Subjects:||University of Westminster > Science and Technology > Electronics and Computer Science, School of (No longer in use)|
|Depositing User:||Rachel Wheelhouse|
|Date Deposited:||30 Jul 2012 15:16|
|Last Modified:||30 Jul 2012 15:16|
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