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youkoutaku/README.md

👋 Hi, I'm Guang-Ze Yang!

I'm a researcher in Control Theory & Robotics, currently completing my Master's at Ibaraki University.

My mission is to build optimal, safety-critical controllers for multi-robot systems.

  • I explore my work and insights on my blog, Young's Notebook.
  • I will be starting my full-time career in autonomous multi-robot systems research in April 2026.
  • Also known as Grayson Young (EN) and 楊 広沢 (よう こうたく) (JP).

Education

  • 2024.04 – 2026.03: Ibaraki University, M.Eng. in Mechanical Systems Engineering
  • 2020.04 – 2024.03: Ibaraki University, B.Eng. in Mechanical Systems Engineering

Research Interests

  • Distributed control of multi-robot systems
  • Optimal & robust control
  • Motion control & path planning

Skills & Knowledge

  • Programming Language: Python, MATLAB, C/C++, Java, JavaScript, HTML & CSS
  • Tools: Simulink, ROS1/ROS2, Linux, Docker, Git, Arduino, Raspberry Pi, Solidworks
  • Knowledge
    • Mathematics: Matrix analysis, Graph theory, Statistics, Optimization, Fourier and Laplace analysis
    • Control Theory: Optimal control, Distributed control, Robust control, Kalman filter
    • Robotics: Robotic arms, Quadrotor drones, Wheeled mobile robots
    • AI/ML: Deep learning, Reinforcement learning
  • Documentation: LaTeX, Markdown
  • Language
    • Chinese(Native), English(Academic), Japanese(N1)

Publications

  • G. -Z. Yang and Z. -J. Yang, "Distributed Robust Time-Varying Formation Control of Multi-Agent Systems Under Disturbances," 2024 SICE Festival with Annual Conference (SICE FES), Kochi City, Japan, 2024, pp. 1000-1005. [IEEE Xplore] [Code]

My Philosophy

"逆境不吐心中苦,顺时不忘来时路。"

"Stoic in hardship, humble in success."

"逆境にあっても心の苦しみを吐き出さず、順境にあっても歩んできた道を忘れない。"

"知之者不如好之者,好之者不如樂之者。" — Confucius

"To know is not as good as to love; to love is not as good as to delight in."

"ある事柄を『知っている』者は、それを『好きだ』という者には及ばない。『好きだ』という者は、それを『楽しんでいる』者には及ばない。"

Activity

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repos-per-language productive-time

Code time (SINCE OCT 14 2024)

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  1. DR-TVFC DR-TVFC Public

    Based on SMC(sliding mode control), DR-TVFC decouples the consensus task and the formation task to achieve distributed formation tracking control for MASs.

    MATLAB 17 1