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 Journals.
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