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 theory with practical applications to autonomous systems.
They include control and estimation 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












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