Controllability and observability of Boolean networks arising from biology-Reference-Cited by-同舟云学术

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Controllability and observability of Boolean networks arising from biology

Published:2015-02 Issue:2 Volume:25 Page:023104
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

Li Rui¹²,Yang Meng³,Chu Tianguang²

Affiliation:

1. Key Laboratory of Systems and Control, Institute of Systems Science, Chinese Academy of Sciences, Beijing 100190, China

2. State Key Laboratory for Turbulence and Complex Systems, College of Engineering, Peking University, Beijing 100871, China

3. China Ship Development and Design Center, Wuhan 430064, China

Funder

Guozhi Xu Posdoctoral Research Foundation

National Basic Research Program of China

National Natural Science Foundation of China (NSFC)

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

http://aip.scitation.org/doi/pdf/10.1063/1.4907708

Reference69 articles.

1. From Boolean to probabilistic Boolean networks as models of genetic regulatory networks

2. Metabolic stability and epigenesis in randomly constructed genetic nets

3. Shape-Dependent Control of Cell Growth, Differentiation, and Apoptosis: Switching between Attractors in Cell Regulatory Networks

4. The NK model of rugged fitness landscapes and its application to maturation of the immune response

5. Neutral Mutations and Punctuated Equilibrium in Evolving Genetic Networks

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1. Detectability of Boolean networks: A finite-time convergent matrix approach;Journal of the Franklin Institute;2024-02

2. Further results on observability verification of Boolean control networks;Systems & Control Letters;2023-04

3. A survey on observability of Boolean control networks;Control Theory and Technology;2023-01-10

4. On Connections between Invariant Subspace and Quotient Approaches for Analysis and Control of Boolean Networks;IEEE Transactions on Automatic Control;2023

5. Synthesis for observability of logical control networks;Automatica;2022-10

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