Over the past decades, the coordination of networked dynamical systems has attracted scholars from interdisciplinary research fields. This is due to the coordination of networked dynamical systems makes it better to understand the underlying theory of many nature phenomena, such as the school of fishes, the flocking of birds and the moving of ants. Meanwhile, it also provides a reasonable theory for many engineering applications, such as the formation of unmanned aerial vehicles (UAVs) and the motion of mobile wireless sensor networks (WSNs).

Currently, networked dynamical systems face many challenges: How can we achieve global coordination and optimization through local information? How can we get distributed observations with sparse information? How can we synthesize the opinions of many parties to realize the satisfaction strategy? How to go from network science to network engineering?

The aim of this Special Issue is to collect original research articles and review articles highlighting developing theories of networked dynamical systems. Submissions should be focused on the analysis on the coordinated behaviors, the design of distributed control algorithms, and the complexity of the research on networked multi-agent systems. We also hope that this Special Issue provides a platform to showcase some real-world applications.

Potential topics include but are not limited to the following:

• Coordination control of networked multi-agent systems
• Distributed state estimation of target systems
• Observer design and algorithm constructions of complex dynamical networks
• Distributed optimization for multi-agent networks
• Game theory in networked systems
• Machine/deep learning in multi-agent networks
• Complex networks and their real applications