2010
DOI: 10.1007/978-3-642-03804-4
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Spatial Filtering for the Control of Smart Structures

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Cited by 5 publications
(2 citation statements)
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“…The model can predict transient effects with no modification, seamlessly allowing future work on maneuvers. The integrated mean square error can be used to determine steady state [48]. The square of the difference between cycle m and cycle m−1 is calculated for each time step for each state variable, then integrated over the cycle from the first time step, t 1 , to the final time step, t f , using a trapezoidal numerical integrator.…”
Section: Solution Methodology and Error Analysismentioning
confidence: 99%
“…The model can predict transient effects with no modification, seamlessly allowing future work on maneuvers. The integrated mean square error can be used to determine steady state [48]. The square of the difference between cycle m and cycle m−1 is calculated for each time step for each state variable, then integrated over the cycle from the first time step, t 1 , to the final time step, t f , using a trapezoidal numerical integrator.…”
Section: Solution Methodology and Error Analysismentioning
confidence: 99%
“…x and y are the spatial coordinates, and p(x, y) is a spatially distributed pressure acting on the surface of the plate. The CoP along a specified constant line shown in equation (1) indicates a ratio that defines a spatially shaded pressure distribution along x normalized by the integrated pressure load over the sensing aperture [26]. And its value (C p , x ) becomes 0 when x =0 or 1 when x = 1.…”
Section: Center Of Pressurementioning
confidence: 99%