Abstract: The ant system(AS) algorithm which is often applied to discrete space problem solving is introduced into system parameter identification problem solving in the continuous space. Corresponding identification algorithm is described and trail distribution function of each intelligent ant is defined. Good simulation results are derived in the example of linear system parameter identification, thus the potential of AS algorithm's application to the optimization problems in continuous space is proved. At the end of this paper, the applicability characters of AS application in continuous space optimization problems are summarized, and direction of further study is given.