Optimization in Multi-agent Systems

In this project, the student will establish a mathematical mechanism to optimize multi-agent systems, where different agents have diferent information about the perforamence index. He will investigate different types of information constraints, especially the system performances under different types of objective functions. Instead of model-based descriptions, he will explore a basic formula of data-driven false data algorithms to overcome the limitation in existing methods. Game theory will also be explored to find solutions.

Supervisors: Prof. Ming Cao and Prof. Jacquelien Scherpen
PhD: Le Liu