Steady-state analysis of probabilistic Boolean networks
This paper investigates steady-state distributions of probabilistic Boolean networks via cascading aggregation. Under this approach, the problem is converted to computing least square solutions to several corresponding equations. Two necessary and sufficient conditions for the existence of the stead...
Saved in:
Main Authors: | Pan, Jinfeng, Feng, Jun-e, Meng, Min |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/151172 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Observability of Boolean networks via matrix equations
by: Yu, Yongyuan, et al.
Published: (2021) -
Controllability of Markovian jump Boolean control networks
by: Meng, Min, et al.
Published: (2020) -
Probabilistic steady-state analysis of power systems
by: Koh, Boon Kiong
Published: (2020) -
An adjoint network approach to design stabilizable switching signals of switched Boolean networks
by: Yu, Yongyuan, et al.
Published: (2021) -
Set controllability of Markov jump switching Boolean control networks and its applications
by: Li, Yalu, et al.
Published: (2022)