Abstract: This paper proposed a new adaptive grey prediction control strategy based on the research of grey theory, adaptive switching method and MIMO networked control systems. The whole modeling procedure of this method was established. The equal dimension GM (1，1) model was established by using metabolic principle. This method only identifies two parameters,and avoids online solving the Diophantine equation and inverse matrix. So the computation load of the algorithm can be reduced greatly,and real-time property is advanced. The efficacy of the proposed method is shown by presenting simulation results from inverted pendulums networked control systems' example.

Key words: Networked control systems (NCSs) , Adaptive grey prediction, Urey model, Inverted pendulum system