Advanced Control Systems Laboratory
School of Electrical Engineering, Korea University, Seoul, South Korea
The main research fields are in areas of intelligent control and estimation with theoretical and practical applications to autonomous systems.
They include control, estimation, synchronization, and consensus for cyber-physical, complex, multi-agent, and networked nonlinear systems based on artificial intelligence (neural networks and fuzzy systems), control theory, statistical signal processing, and information fusion.
Theoretical Research Interests
- Intelligent Control and Estimation for Cyber-Physical Systems
- Artificial Intelligence and Machine Learning for Control and Estimation
- Multi-Sensor and Filter Fusion in Sensor Networks
Synchronization and Consensus for Multi-Agent Systems Networked Control and Estimation Theory Multi-Dimensional Systems and Applications Vision-Based Control for Autonomous Vehicles and Drones Connected Drones, Vehicles, and Robots under Cyber Attacks Digital Filter Analysis and Design Chaos Synchronization and Applications Nonlinear (Chaotic) Circuits and Systems with Applications
Practical Research Interests