This paper provides a tutorial overview of information consensus in multivehicle cooperative control. It discusses the importance of information consensus for enabling cooperative control in multivehicle systems, including formation control, rendezvous, attitude alignment, flocking, and sensor networks. The paper reviews the theoretical foundations of consensus algorithms, including graph theory, matrix theory, and convergence analysis. It also presents different types of consensus algorithms, including continuous-time and discrete-time algorithms, and discusses their convergence properties under different communication topologies. The paper also addresses the effects of communication delays, asynchronous consensus, and dynamic communication topologies on consensus performance. Additionally, it discusses the design of coordination strategies using consensus algorithms, including rendezvous, formation stabilization, and formation maneuvering. The paper concludes with a discussion of extensions of consensus algorithms to other applications, such as synchronization of coupled oscillators and control of rigid body attitude dynamics.This paper provides a tutorial overview of information consensus in multivehicle cooperative control. It discusses the importance of information consensus for enabling cooperative control in multivehicle systems, including formation control, rendezvous, attitude alignment, flocking, and sensor networks. The paper reviews the theoretical foundations of consensus algorithms, including graph theory, matrix theory, and convergence analysis. It also presents different types of consensus algorithms, including continuous-time and discrete-time algorithms, and discusses their convergence properties under different communication topologies. The paper also addresses the effects of communication delays, asynchronous consensus, and dynamic communication topologies on consensus performance. Additionally, it discusses the design of coordination strategies using consensus algorithms, including rendezvous, formation stabilization, and formation maneuvering. The paper concludes with a discussion of extensions of consensus algorithms to other applications, such as synchronization of coupled oscillators and control of rigid body attitude dynamics.