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.