In this paper, a system of procedures for identification using the transien
t step response is presented. The identification aims at modeling dynamic p
rocesses with simple models that have general second-order dynamics. The pr
ocedures consist of three parts, including classification of the response s
election of the model structure, and the estimation of parameters. Technica
lly, this proposed system provides a strategy based on quantitative measure
s to identify the model structure and extends the identification of models
to include possible RHP/LHP zeros and dead time. One important aspect of th
is proposed system of procedures is the minimization of the need for human
decisions to be made during the identification process. With this advantage
; it is then possible to facilitate the development. of software to perform
the identification automatically.