Benchmarking sparse system identification with low-dimensional chaos
Sparse system identification is the data-driven process of obtaining parsimonious differential
equations that describe the evolution of a dynamical system, balancing model complexity …
equations that describe the evolution of a dynamical system, balancing model complexity …
Chemical process modelling using the extracted informative data sets based on attenuating excitation inputs
LK Yuan, BC Xu, ZS Liang, YX Wang - Journal of the Taiwan Institute of …, 2023 - Elsevier
Background Operation designs on rapid developed advanced chemical processes require
proper models and parameter identification of these models needs input-output data sets …
proper models and parameter identification of these models needs input-output data sets …