A Continuous-Time Linear System Identification Method for Slowly Sampled Data
From MaRDI portal
Publication:4570237
DOI10.1109/TSP.2009.2040017zbMath1391.93273OpenAlexW2109120417MaRDI QIDQ4570237
Fu, Minyue, Damián Edgardo Marelli
Publication date: 9 July 2018
Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1109/tsp.2009.2040017
System identification (93B30) Sampled-data control/observation systems (93C57) Identification in stochastic control theory (93E12) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Sampling theory in information and communication theory (94A20)
Related Items (5)
A combined invariant-subspace and subspace identification method for continuous-time state-space models using slowly sampled multi-sine-wave data ⋮ Consistency analysis of the simplified refined instrumental variable method for continuous-time systems ⋮ Distributed least squares algorithm of continuous-time stochastic regression model based on sampled data ⋮ Identification of linear continuous-time systems under irregular and random output sampling ⋮ Direct continuous-time approaches to system identification. Overview and benefits for practical applications
This page was built for publication: A Continuous-Time Linear System Identification Method for Slowly Sampled Data
