Research on complex motion path optimisation based on pde constraints and deeponet neural network models

HIGHLIGHTS

  • What: The aim of this study is to solve the problem of path planning and speed control of performing teams in complex paths through mathematical modeling and numerical optimization .
  • Who: Path planning et al. from the Faculty of Engineering, Shenzhen MSU-BIT University, Shenzhen, China have published the paper: Research on Complex Motion Path Optimisation Based on PDE Constraints and DeepONet Neural Network Models, in the Journal: (JOURNAL)
  • How: This method discretizes the continuous space and time and converts the PDE into a difference equation that can be solved by a computer algorithm . . .

     

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