Intelligent Systems and Control Engineering
Embedded Systems and Control Engineering provides students with a fundamental background in the basic theoretical concepts and technological principles that constitute the foundation of modern control engineering. The set of courses gives students a basic introduction to control systems and their realization using digital, alalog, and hybrid systems, mathematical concepts and methods that are fundamental to the study of system dynamics and control, flexible manufacturing systems, and computer-controlled system laboratories. The main research areas include adaptive control, intelligent control, motor control, robust and multivariable control, power systems, and sonar/radar signal processing.
| Han, Byeongcheol | Nonlinear system control, control design for power electronics system and power electronics circuit design |
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| Hur, Sung-ho | Control, Wind Turbines/Farms, Condition Monitoring, Modelling, Cross-directional Processes |
| Kim, Min Young | Optomechatronic system : adaptive system design and signal processing, Robotic Visual Intelligence : intelligent system design and information processing, Multi-scale robotic system : M3 (macro-meso-micro) robotics |
| Lee, Dong-Ik | Dependable Embedded Control Systems |
| Lee, Sangmoon (Dean of Faculty, Head of the Major) | Automatic Control Theory and Applications, Networked Control Systems, Cyber Physical Systems, Industrial Applications |
| Lee, Yun-Jung | Robot control, intelligence control, automated system |
| Park, Chan-eun | Robust control, Switching system, Robotics |
| Veluvolu Kalyana C. | Intelligent Systems, AI, Shared Control, Neural Decoding, Nonlinear control and estimation, Bio-signal processing (EEG, Tremor), Surgical robotics, Brain computer interface(BCI) |
| Yang, Jung-Min | Corrective control of asynchronous sequential machines, Control of complex networks, Control of hybrid systems |