Control and Mechatronics 控制和机电一体化 (MNE & SEEM)

Area of Research
研究方向

The research team has been working on variety of research on Systems and Control including intelligent systems and control, motion control systems, robotics optimization, machine vision, condition monitoring and smart asset managements.

Among research topics to be investigated is the modeling, analysis and control system design of variety of nonlinear systems using the intelligent techniques such as fuzzy logic, neural networks, learning, and/or adaptive control combined with conventional control techniques. Integrated high precision motion control systems consisting of digital servo drivers and digital controllers will be developed. The use of passive stereo and active vision for robot navigation and tracking control will be studied. Feature based and position based servo control methods will be investigated. Implementation on a mobile robot and a robot manipulator tracking application will be conducted. Condition monitoring technology and smart asset maintenance system (SAMS) will also be further developed for helping industry in equipment health monitoring mainly via web-based remote monitoring and wireless communication that can be embedded to the current SAMS.

控制和机电一体化项目的研究方向包括：自适应控制理论和应用，非线性系统和控制，复杂系统分析和控制，整数规划和组合最优化，智能学习和控制，机器人视觉、传感，基于视觉的跟踪和控制,机器人与自动化及智能设备监控系统。目标是培养一批具有良好的控制理论、机电一体化技术和应用创新能力的科研人才队伍。

Project Team Members
师资队伍