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youkoutaku/README.md

👋 Hi, I'm Guang-Ze Yang!

wakatime

Control Theory | Robotics | Safety-Critical Systems

I am a Master's student in Mechanical Systems Engineering at Ibaraki University, Japan, specializing in control theory and multi-robot systems.

My research focuses on safety-critical and optimal control for autonomous systems, with an emphasis on bridging theory and real-world robotic applications.

I will join the autonomous systems industry as a full-time researcher in April 2026.

Research Vision

Design provably safe, optimal, and scalable controllers for real-world autonomous systems.

  • Safety-critical control (CLF-CBF-QP) | Optimal control | Robust control
  • Distributed & multi-agent systems
  • Nonlinear systems | Robotics | autonomous systems

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

Publications

  • G. -Z. Yang and Z. -J. Yang, "Safety-Critical Formation Tracking Control of Multi-Robot Systems via CLF-CBF-QP," 2025 International Conference on Advanced Mechatronic Systems (ICAMechS), Xian, China, 2025, pp. 78-83. [IEEE Xplore] [Code]
  • 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]

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)

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

Pinned Loading

  1. DR-TVFC DR-TVFC Public

    DR-TVFC is a control framework based on sliding mode control that decouples the consensus task and the formation task to achieve distributed formation tracking control for multi-agent control syste…

    MATLAB 22 2

  2. MPC-MATLAB-Examples MPC-MATLAB-Examples Public

    モデル予測制御のMATLAB実装例 (MATLAB implementations of Model Predictive Control (MPC))

    MATLAB 5

  3. Control-Theory-Cookbook Control-Theory-Cookbook Public

    A comprehensive, hands-on control theory reference — bridging theory and practice with runnable implementations, real-world applications, and educational resources for students, researchers, and pr…

    Python 1

  4. hf-clf-cbf-qp hf-clf-cbf-qp Public

    HF-CLF-CBF-QP(Hierarchical Fallback CLF-CBF-QP) is a frame work for safety-critical formation tracking that uses ES-CLF for performance and HOCBFs for safety and physical limitations. A three-stage…

    2