Research Area

Control System

Advanced Mechatronics Control (Fig. 1-3)

We are investigating the control theory for periodic motions (such as repetitive control and delayed feedback control) and its application to power-assist control for electric bicycle and analysis of passive dynamic walking.

Vehicle Control using Robust Control Theory (Fig.4)

We are conducting theoretical and experimental studies on how to control for vehicles (i.e. aircraft, car, etc.) by using robust control theory plus game theory.

Networked Control Systems (Fig. 5)

From a control theoretic point of view, we study how to deal with networked control systems, where communication delay, packet loss and distortion occur irregularly over communication links.

Figure 1:Entertainer Robot ”SOMENOSUKE”

Figure 2:Sensor Fault Detection,
Figure 3:Power Assist Control for Electric Bicycle

Figure 4:Collision Avoidance Control,
Figure 5:Remote Monitoring System

Sensing & Signal Processing

Visual Feedback and Sensor Network (Fig.6)

By regarding the sensing technology as a component of control system, we are working on visual feedback control and sensor network for moving robots.

Learning/Adaptive Theory Applied to Various Systems (Fig.7)

We study on Intelligent Signal Processing such as Independent Component Analysis and Feedback Error Learning. We also study their applications to System Identification, Robot Manipulator Control, Silencing Filters, and Vibration Control, etc.

Fig.6:Visual Feedback Control/active vision
Fig.7:Learning Control for a Manipulator to Write One Stroke Characters

Communication System

Next-Generation Network Architecture

We research on next-generation network architecture for high-speed data transmission.

Network Economics and Auction Mechanism

We study how network system should be constructed and utilized from the point of view of economic science. Currently, we have studied auction mechanism for new-generation network system.