Impulse responses are cast as random atomic superpositions of stable poles inside a disk and recovered through constrained convex optimization that encodes engineering priors.
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2026 2verdicts
UNVERDICTED 2representative citing papers
Derives LMI-based stability conditions and peak-to-peak gains for a GPSOL/DERL adaptive controller on first-order SISO nonlinear systems to enforce bounded output errors, verified in simulation and on a pneumatic test rig.
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Randomized Atomic Feature Models for Physics-Informed Identification of Dynamic Systems
Impulse responses are cast as random atomic superpositions of stable poles inside a disk and recovered through constrained convex optimization that encodes engineering priors.
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Online Learning-Based Control with Guaranteed Error Bounds for a Class of Nonlinear Systems
Derives LMI-based stability conditions and peak-to-peak gains for a GPSOL/DERL adaptive controller on first-order SISO nonlinear systems to enforce bounded output errors, verified in simulation and on a pneumatic test rig.