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Learning From Neural Control

Wang, Cong; Hill, David


One of the amazing successes of biological systems is their ability to "learn by doing" and so adapt to their environment. In this paper, first, a deterministic learning mechanism is presented, by which an appropriately designed adaptive neural controller is capable of learning closed-loop system dynamics during tracking control to a periodic reference orbit. Among various neural network (NN) architectures, the localized radial basis function (RBF) network is employed. A property of persistence...[Show more]

CollectionsANU Research Publications
Date published: 2006
Type: Journal article
Source: IEEE Transactions on Neural Networks
DOI: 10.1109/TNN.2005.860843


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