Online-learning control with weakened saturation response to attitude tracking: A variable learning intensity approach

Chengxi Zhang, Choon Ki Ahn, Jin Wu, Wei He

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


This brief investigates the problem of attitude tracking control using a variable learning intensity (VLI) online-learning control (OLC) scheme. The unique specialty of the proposed VLI-OLC scheme is that it achieves control performance enhancement via learning the previous control information online. The implementation is performed by a simple algebraic equation, which achieves decent control robustness while avoiding a complex control design and saving computational resources. The OLC's saturation response caused by the extensive system error during execution is noticeably weakened by introducing a VLI approach. Compatibility with previous algorithms can be guaranteed. The application example shows that control performance and saturation reduction are guaranteed concurrently.

Original languageEnglish
Article number106981
JournalAerospace Science and Technology
Publication statusPublished - 2021 Oct


  • Attitude tracking control
  • Online-learning control
  • Variable learning intensity

ASJC Scopus subject areas

  • Aerospace Engineering

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