A hybrid iterative-sequential method identifies linear DAE systems from errors-in-variables data by partial lagged-data stacking and iterative diagonal error-covariance estimation.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A scaling technique allows three-term recurrence iterations to preserve dissipation in energy-based models by guaranteeing a positive definite symmetric part in the iteration matrix.
citing papers explorer
-
DISPCA : A hybrid iterative-sequential approach for the identification of errors-in-variables model of linear DAE systems
A hybrid iterative-sequential method identifies linear DAE systems from errors-in-variables data by partial lagged-data stacking and iterative diagonal error-covariance estimation.
-
Three-term recurrence iterations for energy-based models
A scaling technique allows three-term recurrence iterations to preserve dissipation in energy-based models by guaranteeing a positive definite symmetric part in the iteration matrix.