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- W4385324350 abstract "Abstract In structure vibration control. Most of the results in the past time are based on idealized system description. Structural nonlinearities, modeling error, parameter imprecise and disturbance are four problems which are not solved completely till now. This paper uses a new type of dynamic neural network to control structure vibration. Singular perturbation theory is used and a neurocomputing approach is developed to solve these problems at the same time. Simulation results show that this new method can solve four problems in vibration control to some extent." @default.
- W4385324350 created "2023-07-28" @default.
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- W4385324350 date "1996-11-17" @default.
- W4385324350 modified "2023-09-23" @default.
- W4385324350 title "Active Structure Vibration Control Using Dynamic Neural Networks: Modeling Error, Nonlinear, Parameter Imprecise and Disturbance" @default.
- W4385324350 doi "https://doi.org/10.1115/imece1996-0941" @default.
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