The variations in the delayed time in time delay systems will worsen control quality.For the control of this kind of system,a parameter self-adapting Fuzzy-Gray predictive control algorithm with intelligent integration is presented.It synthesizes the advantages both of the fuzzy control and of the gray predication.The delayed time is identified by neural network to adjust the parameter of the gray predication online.Simulation result shows that this control strategy can overcome the variation in the delayed time and is in response both to the dynamic and the static characteristic of time delay system.What is more,it features a small overshoot,quick response and high static precision.