pith:4KDK2PBY
Impulse-to-Peak-Output Norm Optimal State-Feedback Control of Linear PDEs
Partial integral equations turn impulse-to-peak analysis and optimal state-feedback design for linear PDEs into solvable convex optimization problems.
arxiv:2604.03399 v2 · 2026-04-03 · math.OC · cs.SY · eess.SY
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Claims
we utilize this PIE framework, and associated Lyapunov techniques, to formulate the I2P response analysis problem as a solvable convex optimization and obtain provable bounds for the I2P-norm of linear PDEs. Moreover, by establishing strong duality between primal and dual formulations of the optimization problem, we develop a constructive method for I2P optimal state-feedback control of PDEs
The partial integral equation representation is an exact and complete state-space model for the linear PDEs considered, allowing Lyapunov-based convex optimization to produce non-conservative bounds and controllers without hidden approximation errors.
The authors use partial integral equations and Lyapunov techniques to cast impulse-to-peak norm analysis as convex optimization and derive optimal state-feedback controllers for linear PDEs via strong duality.
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Receipt and verification
| First computed | 2026-06-02T03:05:05.442725Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e286ad3c38d5df5c014d5355bec74afada8a24556b0431c268799f5b976df1c4
Aliases
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/4KDK2PBY2XPVYAKNKNK35R2K7L \
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Canonical record JSON
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