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• W2024236562 abstract "For a class of uncertain multi-input multi-output non-linear systems an adaptive output feedback control methodology is developed using linearly parameterized neural networks. The neural network operates over a tapped delay line of memory units, comprised of system input/output signals. The adaptive laws for neural network parameters are written in terms of a linear observer of the nominal system's error dynamics. Ultimate boundedness of the error signals is shown through Lyapunov's direct method. Simulations illustrate the theoretical results." @default.
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• W2024236562 date "2004-10-15" @default.
• W2024236562 modified "2023-10-18" @default.
• W2024236562 title "Adaptive output feedback control of a class of multi-input multi-output systems using neural networks" @default.
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• W2024236562 doi "https://doi.org/10.1080/0020717042000297153" @default.
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