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Cascading state-space decomposition of Boolean control networks by nested method
- Source :
- Journal of the Franklin Institute. 356:10015-10030
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- Boolean control networks are a kind of discrete logical dynamical systems. They are recently attracting considerable interest as computational models for genetic and cellular networks. In this paper, we investigate the cascading state-space decomposition problem for Boolean control networks by nested method. Firstly, based on the semi-tensor product of matrices, we obtain some algebraic conditions for the cascading state-space decomposition. Secondly, the multi-layer nested block matrix is defined, and two necessary and sufficient conditions are put forward based on this kind of matrices. Besides, a method is given to design controllers. Finally, an example is given to display the effectiveness of the method provided in this paper.
- Subjects :
- 0209 industrial biotechnology
Computational model
Dynamical systems theory
Computer Networks and Communications
Computer science
Applied Mathematics
Block matrix
02 engineering and technology
Topology
020901 industrial engineering & automation
Control and Systems Engineering
Product (mathematics)
Signal Processing
0202 electrical engineering, electronic engineering, information engineering
Cellular network
Decomposition (computer science)
020201 artificial intelligence & image processing
Algebraic number
Control (linguistics)
Subjects
Details
- ISSN :
- 00160032
- Volume :
- 356
- Database :
- OpenAIRE
- Journal :
- Journal of the Franklin Institute
- Accession number :
- edsair.doi...........c7edb7850c63c3f3934e7f593e14123d
- Full Text :
- https://doi.org/10.1016/j.jfranklin.2018.10.042