چكيده لاتين :
We give a general overview of the state-of-the-art in subspace system
identification methods. We have restricted ourselves to the most important ideas and
developments since the methods appeared in the late eighties. First, the basis of linear
subspace identification are summarized. Different algorithms one finds in literature (Such
as N4SID, MOESP, CVA) are discussed and put into a unifying framework. Further, a
comparison between subspace identification and prediction error methods is made on the
basis of computational complexity and precision of methods by applying them to a glass
tube manufacturing process.
