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pro vyhledávání: '"Wu, Yuqiang"'
This article proposes a method for learning and robotic replication of dynamic collaborative tasks from offline videos. The objective is to extend the concept of learning from demonstration (LfD) to dynamic scenarios, benefiting from widely available
Externí odkaz:
http://arxiv.org/abs/2204.04003
Publikováno v:
In Renewable Energy November 2024 235
Publikováno v:
In Renewable Energy October 2024 232
Publikováno v:
In Measurement 30 September 2024 237
Publikováno v:
In Electric Power Systems Research September 2024 234
Publikováno v:
In Materials Today Physics August 2024 46
Publikováno v:
In Journal of the Franklin Institute August 2024 361(12)
Publikováno v:
In Materials Today Communications August 2024 40
Autor:
Wu, Yuqiang
This paper deals with the error processing problem of sparse identification of nonlinear dynamical systems(SINDy) through introducing the $L_\infty$ approximation to take place of the former $L_2$ approximation. The motivation is that the $L_\infty$
Externí odkaz:
http://arxiv.org/abs/2107.06142