Set stabilization of logical control networks: A minimum node control approach.

In network systems, control using minimum nodes or pinning control can be effectively used for stabilization problems to cut down the cost of control. In this paper, we investigate the set stabilization problem of logical control networks. In particular, we study the set stabilization problem of probabilistic Boolean networks (PBNs) and probabilistic Boolean control networks (PBCNs) via controlling minimal nodes. Firstly, an algorithm is given to search for the minimum index set of pinning nodes. Then, based on the analysis of its high computational complexity, we present optimized algorithms with lower computational complexity to ascertain the network control using minimum node sets. Moreover, some sufficient and necessary conditions are proposed to ensure the feasibility and effectiveness of the proposed algorithms. Furthermore, a theorem is presented for PBCNs to devise all state-feedback controllers corresponding to the set of pinning nodes. Finally, two models of gene regulatory networks are considered to show the efficacy of obtained results. Copyright © 2024 Elsevier Ltd. All rights reserved.

Citation

Jiayang Liu, Lina Wang, Amol Yerudkar, Yang Liu. Set stabilization of logical control networks: A minimum node control approach. Neural networks : the official journal of the International Neural Network Society. 2024 Jun;174:106266

Mesh Tags

PMID: 38552353

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