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- W2155113524 abstract "In this paper, we analyze how to implement a nonlinear observer, which combined with a structured neural network, allows tracking of an artificial output, even when the state is not fully measurable; as an effect of this tracking, the system state converges to any selected equilibrium point. We establish and prove a theorem about the stability of the tracking error and of the state estimation error. The applicability of the approach is illustrated by simulation results. >" @default.
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- W2155113524 date "2002-12-17" @default.
- W2155113524 modified "2023-09-26" @default.
- W2155113524 title "Mechanical systems tracking using neural networks and state estimation simultaneously" @default.
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- W2155113524 doi "https://doi.org/10.1109/cdc.1994.410894" @default.
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