pith:DVUUGUOY
Distributionally Robust Regret Optimal LQR with Common Stage-Law Ambiguity
Multistage distributionally robust regret-optimal LQR under common stage-law ambiguity admits an exact SDP reformulation over linear disturbance-feedback policies.
arxiv:2604.06158 v2 · 2026-04-07 · math.OC · cs.SY · eess.SY
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Claims
We show that over linear disturbance-feedback policies the resulting multistage DRRO-LQR problem admits an exact semidefinite programming reformulation. The optimal controller is the nominal certainty-equivalent LQR law plus a strictly causal empirical-mean correction.
The restriction to linear disturbance-feedback policies is sufficient to achieve both tractability and optimality, together with the common stage-law ambiguity model using a Gelbrich ball.
The multistage DRRO-LQR problem over linear disturbance-feedback policies admits an exact SDP reformulation whose solution is the nominal certainty-equivalent LQR law plus a strictly causal empirical-mean correction.
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| First computed | 2026-08-11T01:24:44.117344Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1d694351d85063583b594a870a492ec08fcd3b343912a8787573b878ac81a7b2
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/DVUUGUOYKBRVQO2ZJKDQUSJOYC \
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Canonical record JSON
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