Intelligent Mechanical Control

Control theory is one of the fundamental technologies supporting the current society. Its application field ranges widely from industrial apparatus to multi-agent systems. We focus on both theoretical and applied research on vast related topics including human-machine system like walking assistance device.

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	Asst. Prof. Ikezaki Taichi E-mail: t.ikezaki [at] okayama-u.ac.jp control theory, control engineering, machine learning, data science   Directory of Researchers

The flow of controller design

When a control target model is not given, the control system may have to be designed and tuned in a trial-and-error approach. In such situations, data-driven control is one of the efficient tuning methods for designing and tuning control laws. Designing and tuning the control law directly to achieve the desired specification using measured time-series signals is possible. We study how to tune a control law through data-driven control and its application.