Brief Adaptive neural network control for a class of uncertain nonlinear systems in pure-feedback form

Authors:
Dan Wang;Jie Huang
Affiliations:
Department of Automation and Computer-Aided Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong;Department of Automation and Computer-Aided Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong
Venue:
Automatica (Journal of IFAC)
Year:
2002

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Abstract

A procedure is developed for the design of adaptive neural network controller for a class of SISO uncertain nonlinear systems in pure-feedback form. The design procedure is a combination of adaptive backstepping and neural network based design techniques. It is shown that, under appropriate assumptions, the solution of the closed-loop system is uniformly ultimately bounded.