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Sensor Placement on a Cantilever Beam Using Observability Gramians

Published 3 Jan 2025 in eess.SY, cs.SY, math.AP, and math.OC | (2501.01726v1)

Abstract: Working from an observability characterization based on output energy sensitivity to changes in initial conditions, we derive both analytical and empirical observability Gramian tools for a class of continuum material systems. Using these results, optimal sensor placement is calculated for an Euler-Bernoulli cantilever beam for the following cases: analytical observability for the continuum system and analytical observability for a finite number of modes. Error covariance of an Unscented Kalman Filter is determined for both cases and compared to randomly placed sensors to demonstrate effectiveness of the techniques.

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