  A new analytical framework consisting of two phenomena: single sample and
multiple samples, is proposed to deal with the identification problem of
Boolean control networks (BCNs) systematically and comprehensively. Under this
framework, the existing works on identification can be categorized as special
cases of these two phenomena. Several effective criteria for determining the
identifiability and the corresponding identification algorithms are proposed.
Three important results are derived: (1) If a BN is observable, it is uniquely
identifiable; (2) If a BCN is O1-observable, it is uniquely identifiable, where
O1-observability is the most general form of the existing observability terms;
(3) A BN or BCN may be identifiable, but not observable. In addition, remarks
present some challenging future research and contain a preliminary attempt
about how to identify unobservable systems.
