A hybrid modeling approach is proposed for modeling and identification of an uniformly sampled continuous process in a closed loop where noises exist. This approach combines the determination of an ARMAX model with the determination of a continuous model as an integrated modeling procedures. The resulted model is designated as the HM(n,m,s) model. By using this modeling approach, the identifiability of the HM(n,m,s) model will be regardless to the regulator that is being used in the closed loop. Besides, the HM(n,m,s) model provides more accurate dynamic information than those of the conventionally estimated ARMAX model, which may be quite misleading sometimes. A systematic modeling strategy is proposed to obtain an adequate low order model. Numerical examples that use the simulated data and the proposed HM(n,m,s) modeling approach are also given. The results of the examples reveal that the advantage of the HM(n,m,s) modeling approach is remarkable.