"Kernel-Based Learning of Stable Nonlinear State-Space Models."

Mohammad Fahim Shakib et al. (2023)

> Home

Details and statistics

DOI: 10.1109/CDC49753.2023.10383312

access: closed

type: Conference or Workshop Paper

metadata version: 2024-10-06

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/cdc/ShakibTPPW23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/cdc/ShakibTPPW23
Mohammad Fahim Shakib, Roland Tóth, Alexander Yu. Pogromsky, A. Pavlov, Nathan van de Wouw:
Kernel-Based Learning of Stable Nonlinear State-Space Models. CDC 2023: 2897-2902

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.