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A new delayed projection neural network for solving quadratic programming problems

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4 Author(s)
Bonan Huang ; Sch. of Inf. Sci. & Eng., Northeastern Univ., Shengyang, China ; Huaguang Zhang ; Zhanshan Wang ; Meng Dong

In this paper, a new delayed projection neural network with mixed delays is proposed for solving a class of quadratic programming (QP) problems. By the Lyapunov-Krasovskii theory and the linear matrix inequality (LMI) method, the proposed neural network is proved to be convergent to the optimal solution of the QP problems exponentially. The validity of the proposed neural network is verified by two simulation examples.

Published in:
Neural Networks (IJCNN), The 2010 International Joint Conference on

Date of Conference: 18-23 July 2010

Page(s):
1 - 5
ISSN :
1098-7576
Print ISBN:
978-1-4244-6916-1
INSPEC Accession Number:
11594028
Conference Location :
Barcelona
Digital Object Identifier :
10.1109/IJCNN.2010.5596930
Product Type:
Conference Publications

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