In this paper, a scheme to identification and control is proposed for main-steam temperature raising in a super heater system of thermal power plant. When modeling the system, a quasi-ARMAX model is effectively used by considering an appropriate treatment of external inputs in the super heater system. Then the validity of constructed model is verified through identification tests. In particular, it is found that the model validity becomes more evident for the high nonlinear case. Finally, an adaptive control system for main-steam temperature raising is designed based on a nonlinear predictor model in the framework of linear stochastic control theory.