My work is in control systems and automation: building mathematical models of physical systems, then designing and tuning controllers that make them do what we want — stably, and in the real world, not just in simulation.
Focus areas
- Dynamic modelling — turning real mechanical and electrical systems into equations you can reason about and simulate.
- Feedback control — controller design and tuning for systems that must stay stable under disturbance.
- Robotics & mechatronics — sensing, actuation, and embedded control on real hardware.
Selected work
A representative thread of my research is the modelling and robust control of unstable, feedback-driven systems — work that touches modelling, sensing, controller design, tuning, and stability all at once.
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Balancing control of a Segway-type wheelchair under disturbance based on H-infinity
A robust control design for a human-scale self-balancing wheelchair, implemented on STM32 hardware. An LQR and an H∞ controller are compared under disturbance and parameter uncertainty: the H∞ controller stays stable where the LQR fails — confirming H∞'s robustness for balancing platforms in the real world.
Where this is heading
The same ideas that drive my research drive a hands-on course I'm developing — teaching control by building and tuning a real robot, foregrounding the reasoning behind every design decision. The free slides in the course library are the foundation that course builds on.
Get in touch
Open to collaboration, supervision, and questions. Email me at jirapodphai@gmail.com.