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.
On exponentially convergent parameter estimation with lack of persistency of excitation
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
-
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.