Title
Stability Analysis of Nonlinear System Identification via Delayed Neural Networks
Abstract
In this brief, the identification problem for time-delay nonlinear system is discussed. We use a delayed dynamic neural network to do on-line identification. This neural network has dynamic series-parallel structure. The stability conditions of on-line identification are derived by Lyapunov-Krasovskii approach, which are described by linear matrix inequality. The conditions for passivity, asymptot...
Year
DOI
Venue
2007
10.1109/TCSII.2006.886464
IEEE Transactions on Circuits and Systems II: Express Briefs
Keywords
Field
DocType
Stability analysis,Nonlinear systems,Delay systems,Neural networks,Asymptotic stability,Nonlinear dynamical systems,Cellular neural networks,Backpropagation algorithms,Nonlinear control systems,Control systems
Nonlinear system,Control theory,Nonlinear system identification,Stability conditions,Exponential stability,Artificial neural network,Parameter identification problem,Linear matrix inequality,Mathematics,Bounded function
Journal
Volume
Issue
ISSN
54
2
1549-7747
Citations 
PageRank 
References 
37
1.91
13
Authors
2
Name
Order
Citations
PageRank
José De Jesús Rubio157436.29
Wen Yu228322.70