Speaker: Meng Min, Professor, Doctoral supervisor, School of Electronic and Information Engineering, Tongji University

Date: December 8, 2022

Time: 19:00-20:00

Location: Tencent Meeting

Sponsor: School of Mathematics, Shandong University

Abstract:

Markovian jump Boolean networks can be viewed as a class of generalization of deterministic and probabilistic Boolean networks. As we know, with the help of semi-tensor product of matrices, a Boolean network can be equivalently converted to an algebraic-expression form. From this point, a Markovian jump Boolean network is first rewritten into a linear (bilinear) system form. This talk then discusses analysis and control Markovian jump Boolean networks, including stability, state distribution prediction, stabilization and pinning control problems, based on the equivalent algebraic-expression form.

For more information, please visit:

http://www.math.sdu.edu.cn/info/1020/18085.htm