The article provides a tutorial overview of information consensus in multivehicle cooperative control, emphasizing the importance of shared information among vehicles for coordinated tasks such as rendezvous, formation control, and flocking. It discusses the theoretical foundations of consensus algorithms, including continuous and discrete-time models, and their applications in various scenarios. The article also explores the impact of communication topologies, delays, and asynchronous updates on consensus performance. Additionally, it covers extensions of consensus algorithms to more complex systems, such as double-integrator dynamics and coupled nonlinear oscillators, and their applications in rendezvous, formation stabilization, and maneuvering. The article concludes with a discussion on the design of coordination strategies using consensus algorithms, highlighting their effectiveness in enhancing the operational effectiveness of autonomous vehicle teams in civilian and military applications.The article provides a tutorial overview of information consensus in multivehicle cooperative control, emphasizing the importance of shared information among vehicles for coordinated tasks such as rendezvous, formation control, and flocking. It discusses the theoretical foundations of consensus algorithms, including continuous and discrete-time models, and their applications in various scenarios. The article also explores the impact of communication topologies, delays, and asynchronous updates on consensus performance. Additionally, it covers extensions of consensus algorithms to more complex systems, such as double-integrator dynamics and coupled nonlinear oscillators, and their applications in rendezvous, formation stabilization, and maneuvering. The article concludes with a discussion on the design of coordination strategies using consensus algorithms, highlighting their effectiveness in enhancing the operational effectiveness of autonomous vehicle teams in civilian and military applications.