This paper studied the rendezvous problem for a class of linear systems with uncertain parameters and external disturbances under the state-dependent dynamic networks. By combining potential function technique, distributed internal model design and adaptive control technique, a distributed adaptive state feedback control law is proposed not only to solve the rendezvous problem including the tasks of maintaining the connectivity of the rendezvous network and achieving asymptotic tracking, but also to reject unknown external disturbances and handle uncertain parameters in the system dynamics, the leader system and the exosystem simultaneously.