Pinning Stabilizer Design for Probabilistic Boolean Control Networks via Condensation Digraph.

Wang, Lina; Liu, Jiayang; Liu, Yang; Gui, Weihua · IEEE Trans Neural Netw Learn Syst · 2023

basic_science · Level V

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Abstract

This article investigates the design of pinning controllers for state feedback stabilization of probabilistic Boolean control networks (PBCNs), based on the condensation digraph method. First, two effective algorithms are presented to achieve state feedback stabilization of the considered system from the perspective of condensation digraph. One is to find the desired matrix, and the other is to search for the minimum number of pinned nodes and specific pinned nodes. Then, all the mode-independent pinning controllers can be designed based on the desired matrix and pinned nodes. Several examples are delineated to illustrate the validity of the main results.