Learning rules for neuro-controller via simultaneous perturbation
作者： Y. Maeda , R.J.P. De Figueiredo
DOI: 10.1109/72.623213
关键词:
摘要: This paper describes learning rules using simultaneous perturbation for a neurocontroller that controls an unknown plant. When we apply direct control scheme by neural network, the network must learn inverse system of In this case, know sensitivity function plant kind gradient method as rule network. On other hand, described here do not require information about function. Some numerical simulations two-link planar arm and tracking problem nonlinear dynamic are shown.
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sci-hub.se 参考文章(23)
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