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Set Stabilization of Boolean Control Networks via Output-Feedback Controllers

Yingzhe Jia, Biao Wang, Jun‐e Feng, Daizhan Cheng

2022IEEE Transactions on Systems Man and Cybernetics Systems25 citationsDOI

Abstract

In this article, the set stabilization problem of Boolean control networks (BCNs) using output-feedback controllers is investigated comprehensively. First, a novel method for stabilizing BCNs, namely, the state dynamics matrix-based method, is proposed. Then, based on the above method, the time-invariant output-feedback (TIOF) and the time-variant output-feedback (TVOF) laws are derived. The necessary and sufficient conditions of both TIOF and TVOF stabilization of BCNs are also given. In addition, corresponding algorithms are provided such that all possible TIOF stabilizers and TVOF stabilizers for given BCNs can be designed. Finally, some illustrative examples are demonstrated, where the results are discussed and the effectiveness of the presented method is validated.

Topics & Concepts

Control theory (sociology)Output feedbackComputer scienceSet (abstract data type)Feedback controlControl (management)State (computer science)Invariant (physics)Matrix (chemical analysis)MathematicsAlgorithmControl engineeringArtificial intelligenceEngineeringMaterials scienceComposite materialMathematical physicsProgramming languageGene Regulatory Network AnalysisReceptor Mechanisms and SignalingComputational Drug Discovery Methods
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