The invention discloses a robust model prediction controller of an intelligent networked automobile considering communication time delay. The robust model prediction controller comprises the following steps: constructing a vehicle dynamic model, constructing a secondary optimization performance index according to comprehensive optimization of traffic smoothness, safety and fuel economy, and designing a state feedback control law to enable a closed-loop system to be asymptotically stable. In an intelligent network connection environment, vehicles can obtain information of positions, speeds, accelerations and the like of other vehicles and traffic signal information through V2V and V2I communication, and in order to solve the problem of multi-vehicle collaborative optimization of a motorcade passing through urban signal lamp intersections in the presence of communication time delay, a discrete time delay model of the motorcade on a single lane is firstly established; fuel economic performance, traffic smoothness and safety are used as optimization targets; the robust model prediction controller is solved by taking the fuel economy, the traffic fluency and the safety as optimization objectives and utilizing a linear matrix inequality technology and a min-max model prediction control method, so that the robust stability of the system and the optimization of the target performance are ensured.