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- W1546065623 abstract "This paper proposes a wavelet-neural-network-based backstepping control (WNNBC) for the chaotic systems. The WNNBC is comprised of a neural backstepping controller and an adaptive robust controller. The neural backstepping controller containing a wavelet neural network identifier is the principal controller, and the adaptive robust controller is designed to achieve L/sub 2/ tracking performance with desired attenuation level. Finally, simulation results verify that the proposed WNNBC can achieve favorable tracking performance." @default.
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- W1546065623 date "2006-01-05" @default.
- W1546065623 modified "2023-09-24" @default.
- W1546065623 title "Wavelet-neural-network-based backstepping control for chaotic systems" @default.
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- W1546065623 doi "https://doi.org/10.1109/ijcnn.2005.1555861" @default.
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