Weak Stabilization of Boolean Networks Under State-Flipped Control

In this brief, stabilization of Boolean networks (BNs) by flipping a subset of nodes is considered, here we call such action state-flipped control. The state-flipped control implies that the logical variables of certain nodes are flipped from 1 to 0 or 0 to 1 as time flows. Under state-flipped contr...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2023-05, Vol.34 (5), p.2693-2700
Hauptverfasser:	Liu, Zejiao, Zhong, Jie, Liu, Yang, Gui, Weihua
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Boolean Boolean functions Boolean networks (BNs) Cells (biology) Controllability Learning systems Machine learning Nodes Numerical stability Q-learning (QL) Reinforcement learning semi-tensor product (STP) Stability criteria Stabilization state-flipped-transition matrix Steering weak stabilization
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