Deep Koopman Operator With Control for Nonlinear Systems

@article{Shi2022DeepKO,
  title={Deep Koopman Operator With Control for Nonlinear Systems},
  author={Hao-bin Shi and Max Qinghu Meng},
  journal={IEEE Robotics and Automation Letters},
  year={2022},
  volume={7},
  pages={7700-7707}
}
  • Hao-bin ShiM. Meng
  • Published 16 February 2022
  • Computer Science
  • IEEE Robotics and Automation Letters
Recently Koopman operator has become a promising data-driven tool to facilitate real-time control for unknown nonlinear systems. It maps nonlinear systems into equivalent linear systems in embedding space, ready for real-time linear control methods. However, designing an appropriate Koopman embedding function remains a challenging task. Furthermore, most Koopman-based algorithms only consider nonlinear systems with linear control input, resulting in lousy prediction and control performance when… 

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