New perturbation-annihilation-based estimation laws for noisy linear regressions ensure exponential parametric error convergence to an arbitrarily small set without requiring all regressors to be noise-free.
Online actor–critic algorithm to solve the continuous-time infinite horizon optimal control problem
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Estimation of Unknown Parameters in Presence of Perturbations and Noises with Application to GPEBO Design
New perturbation-annihilation-based estimation laws for noisy linear regressions ensure exponential parametric error convergence to an arbitrarily small set without requiring all regressors to be noise-free.