抄録
Identification of transfer functions in a tri-feedback system is discussed from the viewpoint of stochastic inverse problem. Modeling of the feedback system is also discussed: One type is a scalar feedback model and the other is a vector version. Contraction of information is due to observation, and we have one innovation model equivalent to the tri-feedback system corresponding to a way of observation. In a condition of “generalized” minimum phase, identifiability of transfer functions in square and non-square systems can be discussed in principle via a numerical innovation model.
