Establishes structural equivalence between finite-time controllability Gramian decomposition and approximate OED information matrix, mapping VCS to D-optimality and AECS to A-optimality.
Controllability scores for selecting control nodes of large-scale network systems
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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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Relationship Between Controllability Scoring and Optimal Experimental Design
Establishes structural equivalence between finite-time controllability Gramian decomposition and approximate OED information matrix, mapping VCS to D-optimality and AECS to A-optimality.
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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.