A distributed recursive least squares algorithm achieves almost sure convergence for infinite-dimensional stochastic regression models under a cooperative excitation condition without requiring independence or stationarity of regressors.
Analysis of normalized least mean squares-based consensus adaptive filters under a general information condition,
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
-
Distributed adaptive estimation for stochastic large regression models
A distributed recursive least squares algorithm achieves almost sure convergence for infinite-dimensional stochastic regression models under a cooperative excitation condition without requiring independence or stationarity of regressors.