The load distribution of draft is a key factor in shape control for plate mills where roll bending system or roll shifting system has not been equipped.

In view of the time-variable and nonlinear characteristics of mathematical model of hydraulic bending roll system, this thesis design a new nonlinear adaptive controler based on fuzzy neural network.

This paper proposes a new generalized predictive control of the hydraulic bending roll system which features serious disturbance, time delay, nonlinear, and time varying.