Abstract
In recent years, with the rapid development of network technology and sensor technology, networked control systems and networked multi-agent systems based on communication connection have become hot topics in the area of control science. Most of the existing control methods for networked systems and networked multi-agent systems rely on model information for design and analysis. If the model of network system is difficult to establish, these methods will not be applicable. In this talk, several data-driven networked system control and cooperation control methods are introduced, including robust data-driven control under communication constraints, distributed data-driven cooperation control for multi-agent systems and distributed data-driven iterative learning cooperation control for multi-agent systems. The related research results give a novel cooperation control method which does not depend on the model information of the networked system. Meanwhile, this talk also gives a research framework of the robust data-driven control theory under incomplete information.
