Linked Life Data

19423439

Source:http://linkedlifedata.com/resource/pubmed/id/19423439

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
2009-6-5
pubmed:abstractText
In this paper, a delayed projection neural network is proposed for solving a class of linear variational inequality problems. The theoretical analysis shows that the proposed neural network is globally exponentially stable under different conditions. By the proposed linear matrix inequality (LMI) method, the monotonicity assumption on the linear variational inequality is no longer necessary. By employing Lagrange multipliers, the proposed method can resolve the constrained quadratic programming problems. Finally, simulation examples are given to demonstrate the satisfactory performance of the proposed neural network.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
1941-0093
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
20
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
915-25
pubmed:dateRevised
2009-10-28
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
A delayed projection neural network for solving linear variational inequalities.
pubmed:affiliation
Key Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China. chenglong@compsys.ia.ac.cn
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't