On Identification of Boolean Control Networks

A new analytical framework consisting of two phenomena, a single sample and multiple samples, is proposed to formulate the identification problem Boolean control networks (BCNs) systematically comprehensively. Under this framework, existing works on can be categorized as special cases these phenomena. Several effective criteria for determining identifiability corresponding algorithms are proposed. Two novel important results derived multiple-samples case: (1) network identifiable if only it observable. (2) BCN O1-observable, where O1-observability most general form observability terms. In addition, remarks present some challenging future research contain preliminary attempt about how identify unobservable systems.