Adaptive neural network control for a class of uncertain nonlinear systems in pure-feedback form |
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| Authors: | Dan WangAuthor VitaeJie HuangAuthor Vitae |
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| Affiliation: | Department of Automation and Computer-Aided Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong |
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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. |
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| Keywords: | Adaptive control Neural networks Nonlinear control Uncertainty Pure-feedback systems |
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