Jekyll2026-04-17T00:58:50+00:00https://kokohekmaytar.github.io/jiahewang/feed.xmlJiahe WangPhD student in Dr. Sun's Robotic Actuators & Dynamics lab School for Engineering of Matter, Transport and Energy Ira A. Fulton Schools of Engineering Arizona State University Research in soft robotics, Koopman-based modeling and control, and ROS2 systems. Notes on Koopman operator learning2026-03-28T17:00:00+00:002026-03-28T17:00:00+00:00https://kokohekmaytar.github.io/jiahewang/blog/2026/koopman-operator-learning-notesThe full write-up is available as a PDF below (embedded viewer). You can also open or download the PDF if the preview does not load.

Full notes (PDF)

Short summary

These papers are the milestones of the Koopman Model:

  1. On Dynamic Mode Decomposition: Theory and Applications(2014)
  2. Dynamic mode decomposition with control(2014)
  3. A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition(2015)
  4. Generalizing Koopman Theory to allow for inputs and control(2016)

Then, for K-MPC:

  1. Linear predictors for nonlinear dynamical systems: Koopman operator meets model predictive control（2018）
]]> DMDc -> EDMD -> EDMDc]]>Research Visit to Tokyo Institute of Technology2023-05-22T17:00:00+00:002023-05-22T17:00:00+00:00https://kokohekmaytar.github.io/jiahewang/blog/2023/research-visit-tokyo-institute-of-technologyVisited the Tokyo Institute of Technology (TIT) and completed a research report on the torque transmission capability of interference-fit connections.

Visit to Tokyo Institute of Technology
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