A new method of process identification for a second-order-plus-dead-time mo
del is proposed and tested with two example systems. In the activation of t
he example processes for the identification, a rectangular pulse input is a
pplied to open loop systems. The model parameters are estimated by minimizi
ng sum of modeling errors with the least squares method. The estimation per
formance is examined by comparing the output pulse responses from the examp
le system and the estimated model. The performance comparison of the propos
ed method and two existing techniques indicates that satisfactory parameter
estimation is available from the proposed procedure. In addition, the role
of sampling time and the shape of input pulse is evaluated and it is found
that the sampling time of less than 0.01 minute gives good estimation whil
e the shape of input pulse does not affect the estimation performance, Fina
lly, the robustness of the estimation in noisy process is proved from the i
nvestigation of the performance in the processes having various levels of n
oise.