Introduction
The main research fields are in areas of intelligent control and estimation with theoretical and practical applications.
They include control, estimation, synchronization, consensus, and analysis for cyber-physical, complex, nonlinear, chaotic, multi-agent, and networked systems based on artificial intelligence (neural networks and fuzzy systems), control theory, statistical signal processing, and information fusion.
Most research results have been published in 'top-tier journals' including IEEE Transactions and IEEE Journals/Magazines.
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
국가
대한민국
소속기관
고려대학교 (학교)
연락처
책임자
김춘기 hironaka@korea.ac.kr