Identification of dynamical systems population described by a mixed effect ARX model structure
Sign Up to like & getrecommendations! Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.08.2342
Abstract: Abstract System identification is a data-driven input-output modeling approach more and more used in biology and biomedicine. In this application context, several assays are repeated to estimate the response variability and reproducibility. The inference of… read more here.
Keywords: model; system identification; structure; identification ... See more keywords
A Levenberg-Marquardt algorithm for sparse identification of dynamical systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3157963
Abstract: Low complexity of a system model is essential for its use in real-time applications. However, sparse identification methods commonly have stringent requirements that exclude them from being applied in an industrial setting. In this article,… read more here.
Keywords: sparse identification; identification; marquardt algorithm; identification dynamical ... See more keywords