Shape control in producing thin cold-rolled strip is very complex because of the non-linearity of the process. Depending on the
process conditions, the operator is involved with manual control during production in the steel industry. In order to implement
the operator's knowledge in the shape control, a lklzzy controller and neural network emulator have been developed. The
fuzzy-control system that has been developed has been utilized for simulations of cross-sectional shape control in the six-high
cold-rolling of thin steel strips of less than 0.5 mm in thickness in the present investigation, the simulations being carried out on
an IBM PC 486. The fuzzy logic was created based on production data to control the delivery shape at the last stand of a tandem
cold mill, Steady- and non-steady state control simulations of irregular cross-sectional strip shapes and the stability of the
currently applied fuzzy control scheme have been investigated. The currently applied fuzzy control scheme is found to be
successful in reducing the irregularity of the cross-sectional shape of the cold-rolled thin steel strip in a stable manner lbr the
steady and the non-steady state under the present condition. Thus, the fuzzy-control system might be useful in controlling the
process as does a human operator, without introducing manual inlervention m practice.