Abstract
AbstractDue to the recent advances and diversity of the subject of modeling and identification of multivariable systems and its important applications in many different traditional and new areas, a need arises for a unification of the existing literature on this subject. In this paper, most of the algorithms which have been proposed for identifying linear discrete‐time multivariable systems from input‐output data will be studied and classified according to the model used. Also, different types of applications and related topics to the subject of multivariable system identification and the features of some identification algorithms when implemented on dedicated computers with limited word length will be discussed.
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