Study And Application Of Intelligent Algorithms In System Identification

System modeling, namely system identification, is the crucial branch of control theory. In thermal systems, system identification is mostly achieved by putting a step or impulse input into a practical system, recording the input-output data and then get the transfer function model.This paper theoretically analyses the traditional algorithms, and put them into use of linear system identification. Besides, it deals mainly with several intelligent algorithms, combining them with system identification through program design. These algorithms are not only suitable in linear system identification, but could be satisfactorily applied in nonlinear system identification.