| Observability of Boolean Control Networks with State Time Delays. | |
| | |
MedLine Citation:
|
PMID: 21518658 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
|
This brief deals with the problem of the observability for the Boolean control networks with time delays in states. First, using semi-tensor product of matrices and the matrix expression of logic, the Boolean control networks with state delays can be converted into discrete time delay dynamics. Then, the observability of the Boolean control networks via two kinds of inputs is investigated by giving necessary and sufficient conditions. Finally, examples are given to illustrate the efficiency of the obtained results. |
| | |
Authors:
|
Fangfei Li; Jitao Sun; Qi-Di Wu |
Related Documents
:
|
11970388 - Correlation functions in the two-dimensional random-field ising model. 16769888 - Mechanics-based statistics of failure risk of quasibrittle structures and size effect o... 19518538 - Closer look at time averages of the logistic map at the edge of chaos. 9116678 - On the dimensionality of cortical graphs. 21992318 - Role of the first coordination shell in determining the equilibrium structure and dynam... 20119098 - Optoacoustic processing of large time-bandwidth signals. |
Publication Detail:
|
Type: JOURNAL ARTICLE Date: 2011-4-21 |
Journal Detail:
|
Title: IEEE transactions on neural networks / a publication of the IEEE Neural Networks Council Volume: - ISSN: 1941-0093 ISO Abbreviation: - Publication Date: 2011 Apr |
Date Detail:
|
Created Date: 2011-4-26 Completed Date: - Revised Date: - |
Medline Journal Info:
|
Nlm Unique ID: 101211035 Medline TA: IEEE Trans Neural Netw Country: - |
Other Details:
|
Languages: ENG Pagination: - Citation Subset: - |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
|
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Automatic Tracking of Muscle Fascicles in Ultrasound Images Using Localized Radon Transform.
Next Document: Revisiting Complex Moments For 2D Shape Representation and Image Normalization.