Work

Robust reachability of Boolean control networks with arbitrary disturbance inputs

Year: 2024

Type: article

Abstract: This paper investigates the robust reachability of Boolean control networks (BCNs) with arbitrary disturbance inputs. First, in order to describe the dynamics of a BCN with arbitrary disturbance inputs, a new concept, possible reachability, is introduced. By exploring the relationship between the robust reachability and the transition matrix, a necessary and sufficient condition is derived for checking the robust reachability. Subsequently, the dynamic progress graph is introduced to describe the dynamics of BCNs and based on the breadth-first search (BFS), an algorithm is proposed to design the shortest control input sequence to ensure robust reachability.

Source: Franklin Open

DOI: 10.1016/j.fraope.2024.100209

Authors: Fengli Sun, Jun-e Feng, Rong Zhao, Xiaoyu Zhao, Biao Wang

Institution: Shandong University

Language: English

Topic: Gene Regulatory Network Analysis

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $1,900

Funders: National Natural Science Foundation of China, Natural Science Foundation of Shandong Province, Taishan Scholar Project of Shandong Province