1 citations · 1 across the 3 of their papers we have counts for
3 papers
math.OC2026
Scalable Outer Approximation of Minkowski Sums of Matrix Ellipsoids for Data-Driven Control
Taira Kaminaga, Hampei Sasahara
Matrix ellipsoids provide a standard framework for representing bounded uncertainties in data-driven control. Since noise models for sequential observations are naturally represent…
math.OC2025
Data Informativity under Data Perturbation
Taira Kaminaga, Hampei Sasahara
Data informativity provides a theoretical foundation for determining whether collected data are sufficiently informative to achieve specific control objectives in data-driven contr…
math.OC2024★ 1 cited
Data Informativity for Quadratic Stabilization under Data Perturbation
Taira Kaminaga, Hampei Sasahara
Assessing data informativity, determining whether the measured data contains sufficient information for a specific control objective, is a fundamental challenge in data-driven cont…