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- W1969875315 abstract "Let a structural system be operating under a natural hazard. The time history of the loading acting on it during its lifetime cannot be foreseen but only recorded on line. The system can be equipped by appropriate devices for the control of its dynamics. The general switch of the control process should be operated by a decisional link where the records, coming from the sensors which monitor the external excitation, are put in relation with the expected performance, and/or safety, of the structure. The actuators will be turned on only in the case where the uncontrolled response is predicted to express undesired features. The problem is to recognize from the very first sampled values of any excitation pulse the effectiveness which the preselected control scheme will exhibit once adopted. The present paper deals with the design of such a decisional link in a neural-network framework. The resulting tool is restricted to operate under stationary forms of excitation. Nonstationarity due to signal modulation, however, is covered by the approach, provided that local considerations offer a demodulation rule." @default.
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- W1969875315 date "1995-03-01" @default.
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- W1969875315 title "Signal recognition for active structural control" @default.
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- W1969875315 doi "https://doi.org/10.1088/0964-1726/4/1a/002" @default.
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