Controlling Dynamics of Networked Autonomous Agents

Advances in control technology and communication technology have enabled the evolution of multi-agent networks into large-scale systems that could complete cooperative tasks which are more complicated than ever before. The research aims to develop an accurate theory for the control of evolutionary dynamics so that interacting autonomous agents can be guided to solve group tasks rapidly and robustly through the pursuit of individual goals in an evolutionary dynamical process. It is envisioned to apply systems and control theory, evolutionary game theory and other tools to develop novel control strategies that could cope with difficulties arising in control of networked agent systems.