作者: Jianming Lian , Stanislaw H Żak , None
DOI: 10.1007/978-3-540-78831-7_11
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摘要: Novel direct adaptive robust state and output feedback controllers are presented for the tracking control of a class nonlinear systems with unknown system dynamics disturbances. Both employ variable-structure radial basis function (RBF) network that can determine its structure dynamically to approximate dynamics. Radial functions added or removed online in order achieve desired accuracy prevent redundancy. The raised-cosine RBF is employed enable fast efficient training evaluation network. controller constructed by utilizing high-gain observer estimate error implementation. closed-loop driven variable neural actually switched systems.