Partner Institution: National Natural Science Foundation of China Key Project

Project Information: Co-Principal Investigator (Co-PI), 2023.01-2027.12

Project Description: In many practical scenarios where central nodes cannot handle extremely complex tasks or form centralized processing, it is essential to design individual control and optimization strategies based on local neighbor information, rather than traditional centralized controllers, to achieve coordination and game theory objectives. This project primarily addresses the common key scientific problems of autonomous coordination and game theory learning, optimization, and control in intelligent unmanned systems:

• Intelligent unmanned system autonomous coordination information mining and multi-objective game theory in dynamic open environments
• Intelligent unmanned system autonomous coordination and game theory optimization under dynamic networks and multi-constraint limitations
• Intelligent unmanned system autonomous coordination and game theory control under uncertainty