Asymptotical Feedback Stabilization and Controllability of Probabilistic Logic Networks With State-Dependent Constraints

Asymptotical Feedback Stabilization and Controllability of Probabilistic Logic Networks With State-Dependent Constraints

This study investigates the asymptotical feedback set stabilization and asymptotical feedback controllability of probabilistic logic control networks (PLCNs) with state-dependent constraints. First, based on the properties of the semi-tensor product (STP) of matrices and the vector representation of...

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Bibliographic Details
Main Authors: Chaoqun Dai, Yuqian Guo
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Probabilistic logic networks
semi-tensor product
state-dependent constraints
input transformation
asymptotical feedback stabilizability
asymptotical feedback controllability
Online Access:https://ieeexplore.ieee.org/document/9844671/

Internet

https://ieeexplore.ieee.org/document/9844671/

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