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













Web Site Hit Counters visits since December 10, 2009