Multi-object robust model predictive control to AGC in hot strip rolling

In this paper, a class of uncertain discrete input-delay system model is investigated based on automatic gauge control (AGC) in hot strip rolling with input constraints, structure uncertainty and disturbance. Based on the hydraulic automatic gauge control and the multi-objective robust model predictive control algorithm, robust model predictive controller is constructed. The cone complementary linearization idea is then employed to convert the controller design into a nonlinear programming problem with linear matrix inequality (LMI) constraints. Finally simulation results illustrate the effectiveness of the proposed methods.