Coordination of networked dynamical systems has drawn significant attention due to its broad applications in biology, social science, computer science, and engineering in recent years. Although different problems are modeled from different disciplines, the basic assignment of these networked dynamical systems is to accomplish a common desirable objective in a cooperative manner. One approach is through a completely centralized strategy, where a single decision maker gathers the entire system’s information, performs the computation, and sends back the solution to an individual agent. This centralized framework is subject to performance limitations, such as a single point of failure, high communication requirement and cost, substantial computational burden, limited flexibility and scalability, and lack of privacy. To overcome these limitations, an alternative distributed approach has received substantial attention in the area of systems and control. The idea is that by carefully designing distributed controllers, a group of autonomous agents can achieve a collective task by cooperatively and locally exchanging information. Interactions are local in the sense that an agent can only interact with a subset of agents. Under such a distributed framework, this book aims to provide some recent results on modeling, analysis, control, and applications of networked dynamical systems.