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Adaptive Neural Control of Non-affine Pure-Feedback Systems

Wang, Cong; Hill, David; Ge, Shuzhi S

Description

Controlling non-affine nonlinear systems is a challenging problem in the control community. In this paper, an adaptive neural control approach is presented for the completely non-affine pure-feedback system with only one mild assumption. By combining adaptive neural design with input-to-state stability (ISS) analysis and the small-gain theorem, the difficulty in controlling non-affine pure-feedback system is overcome by achieving the so-called "ISS-modularity" of the controller-estimator. The...[Show more]

CollectionsANU Research Publications
Date published: 2005
Type: Conference paper
URI: http://hdl.handle.net/1885/84393
Source: Proceedings of the 2005 IEEE International Symposium on Intelligent Control
DOI: 10.1109/.2005.1467031

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