Introduces target volumetric controllability score and target average energy controllability score as solutions to convex problems on the output Gramian, with reduced-system approximations and brain-network experiments.
Minimal controllability problems
2 Pith papers cite this work. Polarity classification is still indexing.
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Develops a two-stage system identification plus sensor allocation algorithm with non-asymptotic guarantees for near-optimal sensor counts in unknown high-dimensional linear systems.
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Target Controllability Scores for Actuation-Constrained Network Intervention
Introduces target volumetric controllability score and target average energy controllability score as solutions to convex problems on the output Gramian, with reduced-system approximations and brain-network experiments.
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Provably Efficient Sensor Allocation for Unknown High-dimensional Systems with Limited Sensing
Develops a two-stage system identification plus sensor allocation algorithm with non-asymptotic guarantees for near-optimal sensor counts in unknown high-dimensional linear systems.