Intelligent Mechanical Control

System control technology helps machines, electronics, and even chemicals work smoothly and safely in our everyday lives. In our lab, we try to make more intelligent systems that combine real life and computers, creating a better, more convenient society. We mainly focus on advanced ideas such as nonlinear control theory and data-driven control methods to achieve this. Our research covers everything from fundamental theories to practical uses in society. We aim to help people live more comfortably, safely, and sustainably by better controlling the technologies around us.

	Prof. NISHIMURA  Yuki E-mail: nishimurayk [at] okayama-u.ac.jp System Control Theroy, Nonlinear Control, Stochastic Control   Directory of Researchers  Link to homepage

I study systems control theory. In particular, I focus on stabilization and safety of systems that contain nonlinearities and stochastic elements. I am also working on applied problems such as human-assist control of electric wheelchairs, control of vehicle robots, automatic ship maneuvering, and servo control of ultrasonic motors by making use of this theory.

	Asst. Prof. Ikezaki Taichi E-mail: t.ikezaki [at] okayama-u.ac.jp System Control Theroy, Data-Driven Control, Cyber-securty   Directory of Researchers  Link to homepage

I study data-driven control, a method for controlling machines and systems by using real measurement data instead of complicated mathematical models. Normally, if we don’t know the system model, we have to rely on experience or trial-and-error. Data-driven control makes it easier and quicker to find effective ways to control systems. My research aims to improve these methods and apply them to real-world situations.