Abstract
In the past decade, adaptive backstepping [92] has become one of the most popular design methods for adaptive nonlinear control because it can guarantee global stabilities, tracking, and transient performance for the broad class of strict-feedback systems with unknown parameters [104]. For the case when both unknown nonlinear functions and/or parametric uncertainty are present in the systems, adaptive neural control schemes were recently presented [147, 151, 192].
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© 2002 Springer Science+Business Media New York
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Ge, S.S., Hang, C.C., Lee, T.H., Zhang, T. (2002). Triangular Nonlinear Systems. In: Stable Adaptive Neural Network Control. The Springer International Series on Asian Studies in Computer and Information Science, vol 13. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-6577-9_7
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DOI: https://doi.org/10.1007/978-1-4757-6577-9_7
Publisher Name: Springer, Boston, MA
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Online ISBN: 978-1-4757-6577-9
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