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- W1982925297 abstract "This paper concerns the development of a robust asymptotic neuro observer for a class of unknown nonlinear systems. The Luenberger type observer in this system have two important terms, the first term assures the boundness of the weights and in second term has a time delayed term, which approximates the derivatives of the measurable states. The Lyapunov-Krasovskii technique is used to proof the robust asymptotic stability on average of the neuro observer as well as boundness of the observation error." @default.
- W1982925297 created "2016-06-24" @default.
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- W1982925297 date "2014-06-01" @default.
- W1982925297 modified "2023-10-16" @default.
- W1982925297 title "Robust asymptotic neuro observer for unknown nonlinear systems" @default.
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- W1982925297 doi "https://doi.org/10.1109/wcica.2014.7053048" @default.
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