![](/images/graphics-bg.png)
Stability Analysis of Neural Networks-Based System Identification
Joint Authors
Djemel, Mohamed
Korkobi, Talel
Chtourou, Mohamed
Source
Modelling and Simulation in Engineering
Issue
Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-01-11
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This paper treats some problems related to nonlinear systems identification.
A stability analysis neural network model for identifying nonlinear dynamic systems is presented.
A constrained adaptive stable backpropagation updating law is presented and used in the proposed identification approach.
The proposed backpropagation training algorithm is modified to obtain an adaptive learning rate guarantying convergence stability.
The proposed learning rule is the backpropagation algorithm under the condition that the learning rate belongs to a specified range defining the stability domain.
Satisfying such condition, unstable phenomena during the learning process are avoided.
A Lyapunov analysis leads to the computation of the expression of a convenient adaptive learning rate verifying the convergence stability criteria.
Finally, the elaborated training algorithm is applied in several simulations.
The results confirm the effectiveness of the CSBP algorithm.
American Psychological Association (APA)
Korkobi, Talel& Djemel, Mohamed& Chtourou, Mohamed. 2009. Stability Analysis of Neural Networks-Based System Identification. Modelling and Simulation in Engineering،Vol. 2008, no. 2008, pp.1-8.
https://search.emarefa.net/detail/BIM-464434
Modern Language Association (MLA)
Korkobi, Talel…[et al.]. Stability Analysis of Neural Networks-Based System Identification. Modelling and Simulation in Engineering No. 2008 (2008), pp.1-8.
https://search.emarefa.net/detail/BIM-464434
American Medical Association (AMA)
Korkobi, Talel& Djemel, Mohamed& Chtourou, Mohamed. Stability Analysis of Neural Networks-Based System Identification. Modelling and Simulation in Engineering. 2009. Vol. 2008, no. 2008, pp.1-8.
https://search.emarefa.net/detail/BIM-464434
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-464434