A robust inferential controller is developed for hot strip rolling mill ten
sion control. Tension cannot be measured, therefore a nonlinear model is us
ed to infer the tension from the looper angle. The model uses constant phys
ical parameters while the actual physical system will be uncertain, therefo
re quantitative feedback theory is used to design a tension controller, whi
ch will provide robust performance despite uncertainty from both the physic
al system and the inference model or soft sensor.