Deterministic System Identification Using RBF Networks
Joint Authors
de Medeiros Martins, Allan
Costa, Evandro de B.
de Almeida Rego, Joilson Batista
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-30
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
This paper presents an artificial intelligence application using a nonconventional mathematical tool: the radial basis function (RBF) networks, aiming to identify the current plant of an induction motor or other nonlinear systems.
Here, the objective is to present the RBF response to different nonlinear systems and analyze the obtained results.
A RBF network is trained and simulated in order to obtain the dynamical solution with basin of attraction and equilibrium point for known and unknown system and establish a relationship between these dynamical systems and the RBF response.
On the basis of several examples, the results indicating the effectiveness of this approach are demonstrated.
American Psychological Association (APA)
de Almeida Rego, Joilson Batista& de Medeiros Martins, Allan& Costa, Evandro de B.. 2014. Deterministic System Identification Using RBF Networks. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-471860
Modern Language Association (MLA)
de Almeida Rego, Joilson Batista…[et al.]. Deterministic System Identification Using RBF Networks. Mathematical Problems in Engineering No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-471860
American Medical Association (AMA)
de Almeida Rego, Joilson Batista& de Medeiros Martins, Allan& Costa, Evandro de B.. Deterministic System Identification Using RBF Networks. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-471860
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-471860
