pith:4C3CSBPN
Distributed Synthesis of Gray-Box Distributed H2 Controllers
Partially known dynamics and local data enable fully distributed design of H2 controllers using physical coupling for communication.
arxiv:2605.17597 v1 · 2026-05-17 · eess.SY · cs.SY
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\pithnumber{4C3CSBPNGWSGTQXSWIUM7Y4R7K}
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Record completeness
Claims
Our method can handle unknown dynamics and offers scalable synthesis. Each agent communicates with a set of neighbors determined by the physical coupling topology of the system such that we can apply the Alternating Direction Method of Multipliers (ADMM) to solve the problem iteratively in a fully distributed fashion.
The physical coupling topology of the system is known and can be directly used to define the neighbor communication graph for distributed synthesis, and that the available input-state dataset is sufficient to compensate for unknown dynamics in the gray-box model.
Develops a scalable distributed gray-box synthesis method for H2 controllers using partial models, data, and ADMM on physical topologies, demonstrated via simulation on the IEEE 39-bus power system.
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Receipt and verification
| First computed | 2026-05-20T00:04:47.822272Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e0b62905ed35a469c2f2b228cfe391faab9c3f7f02e6286cb5bad381dbf415a6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4C3CSBPNGWSGTQXSWIUM7Y4R7K \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: e0b62905ed35a469c2f2b228cfe391faab9c3f7f02e6286cb5bad381dbf415a6
Canonical record JSON
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