Sensor Placement on a Cantilever Beam Using Observability Gramians
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.
- Publication:
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arXiv e-prints
- Pub Date:
- January 2025
- DOI:
- arXiv:
- arXiv:2501.01726
- Bibcode:
- 2025arXiv250101726B
- Keywords:
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- Electrical Engineering and Systems Science - Systems and Control;
- Mathematics - Analysis of PDEs;
- Mathematics - Optimization and Control
- E-Print:
- 8 pages, 7 figures, presented at 2022 IEEE Conference on Decision and Control (CDC)