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Learning from neural control of nonlinear systems in normal form

Liu, Tengfei; Wang, Cong; Hill, David


A deterministic learning theory was recently proposed which states that an appropriately designed adaptive neural controller can learn the system internal dynamics while attempting to control a class of simple nonlinear systems. In this paper, we investigate deterministic learning from adaptive neural control (ANC) of a class of nonlinear systems in normal form with unknown affine terms. The existence of the unknown affine terms makes it difficult to achieve learning by using previous methods....[Show more]

CollectionsANU Research Publications
Date published: 2009
Type: Journal article
Source: Systems and Control Letters
DOI: 10.1016/j.sysconle.2009.04.001


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