pith:VZCLPQBZ
Relationship Between Controllability Scoring and Optimal Experimental Design
Finite-time controllability scores in linear networks match D- and A-optimality criteria from optimal experimental design via additive Gramian decomposition.
arxiv:2602.11921 v3 · 2026-02-12 · math.OC
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Claims
We establish a structural connection between finite-time controllability scoring and approximate optimal experimental design (OED): the finite-time controllability Gramian decomposes additively across nodes, yielding an affine matrix model of the same form as the information-matrix model in OED.
The finite-time controllability Gramian admits an additive decomposition across nodes for linear networked systems, and source-like nodes without negative self-loops exhibit the stated long-horizon downweighting under AECS.
Finite-time controllability scoring matches approximate OED, with VCS corresponding to D-optimality and AECS to A-optimality, plus a unique optimizer and long-horizon node downweighting.
References
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| First computed | 2026-05-18T02:45:05.281048Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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Canonical record JSON
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