A Nonlinear Projection Neural Network for Solving Interval Quadratic Programming Problems and Its Stability Analysis
Joint Authors
He, Lijun
Qin, Leijie
Tao, Feng
Wu, Huaiqin
Shi, Rui
Source
Mathematical Problems in Engineering
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-08-29
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
This paper presents a nonlinear projection neural network for solving interval quadratic programs subject to box-set constraints in engineering applications.
Based on the Saddle point theorem, the equilibrium point of the proposed neural network is proved to be equivalent to the optimal solution of the interval quadratic optimization problems.
By employing Lyapunov function approach, the global exponential stability of the proposed neural network is analyzed.
Two illustrative examples are provided to show the feasibility and the efficiency of the proposed method in this paper.
American Psychological Association (APA)
Wu, Huaiqin& Shi, Rui& Qin, Leijie& Tao, Feng& He, Lijun. 2010. A Nonlinear Projection Neural Network for Solving Interval Quadratic Programming Problems and Its Stability Analysis. Mathematical Problems in Engineering،Vol. 2010, no. 2010, pp.1-13.
https://search.emarefa.net/detail/BIM-469322
Modern Language Association (MLA)
Wu, Huaiqin…[et al.]. A Nonlinear Projection Neural Network for Solving Interval Quadratic Programming Problems and Its Stability Analysis. Mathematical Problems in Engineering No. 2010 (2010), pp.1-13.
https://search.emarefa.net/detail/BIM-469322
American Medical Association (AMA)
Wu, Huaiqin& Shi, Rui& Qin, Leijie& Tao, Feng& He, Lijun. A Nonlinear Projection Neural Network for Solving Interval Quadratic Programming Problems and Its Stability Analysis. Mathematical Problems in Engineering. 2010. Vol. 2010, no. 2010, pp.1-13.
https://search.emarefa.net/detail/BIM-469322
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-469322