Comparison of deep learning and deterministic algorithms for control modeling

HIGHLIGHTS

• who: Hanfeng Zhai and Timothy Sands from the Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, USA have published the research work: Comparison of Deep Learning and Deterministic Algorithms for Control Modeling, in the Journal: Sensors 2022, 6362 of /2022/
• what: Based on the work presented in this manuscript on NN-based control and deterministic algorithms, it can be deduced that challenging problems remain open, particularly regarding controlling highly nonlinear systems. As introduced in Section 1, the main goal is a comparison of control methods. To this phenomenon, the authors provide the . . .
  

   

  

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