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Model-free learning control for unstable system

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2 Author(s)
C. H. C. Ribeiro ; Tech. Inst. of Aeronaut., ITA, Sao Paulo, Brazil ; E. M. Hemerly

The authors consider the problem of model-free control via a reinforcement learning method that uses, as additional learning information, the distance between sampled and represented states, embedded in actions that are the result of a distancewise local interpolation scheme over states. Fast learning and a reduced number of trials resulted, as demonstrated in the real-time control of a magnetic levitation system

Published in:

Electronics Letters  (Volume:34 ,  Issue: 21 )