Dracopoulos, Dimitris and Effraimidis, Dimitrios (2012) Genetic programming for generalised helicopter hovering control. In: Moraglio, Alberto and Silva, Sara and Krawiec, Krzysztof and Machado, Penousal and Cotta, Carlos, (eds.) Genetic programming: proceedings of the 15th European conference, EUROGP 2012. Lecture notes in computer science (7244). Springer Verlag, Malaga, Spain, pp. 25-36. ISBN 9783642291388
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Official URL: http://dx.doi.org/10.1007/978-3-642-29139-5_3
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|
|Research Community:||University of Westminster > Electronics and Computer Science, School of|
|Deposited On:||30 Jul 2012 16:16|
|Last Modified:||30 Jul 2012 16:16|
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