Aiming at the coupled shape and gauge control problem in hot strip mills, a complex control strategy is proposed.
Based on the division of the input space, a multiple support vector machine model with several sub-models is established,
and the principal component regression method is used for the output synthesis of the sub-models. Based on the established
model, an optimization controller is designed for the complex control of strip shape and gauge. Simulation and field
experiments show that the proposed complex control method based on the multiple support vector machine model can
effectively reduce the gauge and shape control error at the same time.