1 citations · 1 across the 2 of their papers we have counts for
5 papers
PySensors: A Python Package for Sparse Sensor Placement
Brian M. de Silva, Krithika Manohar, Emily Clark +3
PySensors is a Python package for selecting and placing a sparse set of sensors for classification and reconstruction tasks. Specifically, PySensors implements algorithms for data-…
Bracketing brackets with bras and kets
Emily Clark, Angelie Vincent, J. Nathan Kutz +1
Brackets are an essential component in aircraft manufacture and design, joining parts together, supporting weight, holding wires, and strengthening joints. Hundreds or thousands of…
Multi-fidelity sensor selection: Greedy algorithms to place cheap and expensive sensors with cost constraints
Emily Clark, Steven L. Brunton, J. Nathan Kutz
We develop greedy algorithms to approximate the optimal solution to the multi-fidelity sensor selection problem, which is a cost constrained optimization problem prescribing the pl…
Sensor Selection With Cost Constraints for Dynamically Relevant Bases
Emily Clark, J. Nathan Kutz, Steven L. Brunton
We consider cost-constrained sparse sensor selection for full-state reconstruction, applying a well-known greedy algorithm to dynamical systems for which the usual singular value d…
Greedy Sensor Placement with Cost Constraints
Emily Clark, Travis Askham, Steven L. Brunton +1
The problem of optimally placing sensors under a cost constraint arises naturally in the design of industrial and commercial products, as well as in scientific experiments. We cons…