A covariance-bound procedure yields a high-probability uncertainty set for nonlinear system parameters under unbounded stochastic noise, with convergence guarantees and direct use in probabilistic robust control.
Learn ing the uncertainty sets of linear control systems via set membersh ip: A non- asymptotic analysis
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SY 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Beyond Bounded Noise: Stochastic Set-Membership Estimation for Nonlinear Systems
A covariance-bound procedure yields a high-probability uncertainty set for nonlinear system parameters under unbounded stochastic noise, with convergence guarantees and direct use in probabilistic robust control.