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Deterministic Learning and Rapid Dynamical Pattern Recognition of Discrete-Time Systems

Liu, Tengfei; Wang, Cong; Hill, David

Description

Recently, a deterministic learning theory was proposed for identification and rapid pattern recognition of uncertain nonlinear dynamical systems. In this paper, we investigate deterministic learning of discrete-time nonlinear systems. For periodic or recurrent dynamical patterns, the persistent excitation (PE) condition can be satisfied by a regression subvector constructed from the neurons near the sequence. With the satisfaction of the PE condition, it is shown that the internal dynamics of...[Show more]

CollectionsANU Research Publications
Date published: 2008
Type: Conference paper
URI: http://hdl.handle.net/1885/35245
Source: Proceedings of IEEE International Symposium on Intelligent Control 2008
DOI: 10.1109/ISIC.2008.4635960

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