Adaptive optimal output regulation for wheel-legged robot ollie: a data-driven approach

HIGHLIGHTS

  • who: Jingfan Zhang from the The University of Sheffield, United Kingdom have published the article: Adaptive optimal output regulation for wheel-legged robot Ollie: A data-driven approach, in the Journal: (JOURNAL)
  • what: The authors design the AOOR-based controller on the wheel-legged robot Ollie to achieve non-model-based optimal control and regulate it to stand still in various working conditions. In the data-driven approach, the main objective is to remove the dependency on the model parameter A, B and D, and determine the optimal solution (K *, P* ) and_(Z, T). The . . .

     

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