Abstract: Abstract: Aiming at the characteristics of distributed control systems, this paper proposed a new data driven distributed predictive control strategy. The input output data are directly utilized to design the distributed controller of each subsystem. The input output information is exchanged among subsystems via network, which can make each controller work in coordination with the others. By this way, the control performance of each subsystem is improved by considering the interactions among subsystems. An iteration algorithm is utilized to achieve the Nash optimality and the convergence condition for iteration is also given. The simulation results demonstrate the effectiveness of the proposed approach.