Relying on the disciplinary advantages of the school, and targeting national strategic fields such as rail transit and intelligent manufacturing, we focus on intelligent measurement and control as the core. We are committed to the cutting-edge research and application of multi-source information perception, dynamic diagnosis and prediction, and multi-agent cooperative control, so as to promote the upgrading of high-end equipment from "passive operation and maintenance" to "active intelligence", and support the digital and intelligent transformation of related industries.

Research Directions

Direction 1: Path Planning and Cooperative Control Technology for Multi-Agent Systems

Direction 2: Intelligent Load Balancing Distribution Technology and Complete Sets of Equipment for Rail Vehicles

Direction 3: Research on Multi-Source Heterogeneous Information Fusion and Train Operation Cooperative Control Technology for Rail Transit

Direction 4: Theory and Key Technologies of Autonomous Cooperative Operation Control for Maglev Trains