Identification of boolean control networks incorporating prior knowledge

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Dec 2017Publisher:IEEEJournal:2017 IEEE 56th Annual Conference on Decision and Control (CDC)

Authors: Zhihua Zhang 0001; Thomas Leifeld; Ping Zhang 0022;

doi: 10.1109/cdc.2017.8264542

Identification of boolean control networks incorporating prior knowledge

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Abstract

In this paper, we investigate identification problem of Boolean control networks (BCNs) by applying the semitensor product and representing the system matrices by binary parameters. Prior knowledge can be utilized to reduce the number of binary parameters in system matrices. For the estimation problem of BCNs, the prediction error method will be applied, which is formulated as an integer linear programming problem. Examples are given to illustrate the proposed approach.

Related Organizations

University of Kaiserslautern
Germany
Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau
Germany

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