mlsanityData to 14 Oct 2026

Sensor Placement on a Cantilever Beam Using Observability Gramians

arXiv 2501.01726 ↗First posted 3 Jan 2025eess.SY cs.SY math.APcited by 2

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Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 3 Jan 2025.

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