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.
Near optimal finite time identi fication of arbitrary linear dynamical systems
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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.