"Moving Horizon Trend Identification Based on Switching Models for Data ..."

Angelo Alessandri et al. (2018)

> Home

Details and statistics

DOI: 10.1109/CDC.2018.8619006

access: closed

type: Conference or Workshop Paper

metadata version: 2020-10-25

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/cdc/AlessandriBGLS18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/cdc/AlessandriBGLS18
Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Davide Lengani, Daniele Simoni:
Moving Horizon Trend Identification Based on Switching Models for Data Driven Decomposition of Fluid Flows. CDC 2018: 2138-2143

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.